All posts by Ashly.Arndt@experian.com

People change phone numbers regularly, causing headaches for customer service representatives and data managers across organizations. Maintaining a database of active phone numbers constantly challenges data-driven organizations. However, businesses with proper phone verification processes deliver a positive customer experience. Finding the best method for checking a mobile number’s active status allows your organization to save time and maintain better customer relationships simultaneously. Why is checking my phone number important? Accurate contact data is one of a business’s most valuable resources. After all, the best businesses are transparent, communicative, and responsive to their customers. However, inaccurate phone numbers are a significant obstacle in that relationship. Knowing how to check if a phone number is active goes a long way toward maintaining strong relationships with customers and keeping an open line of communication. Checking that you have an active phone number for your customer is a necessity for organizations as accurate data can be used for various purposes, such as: Contacting a customer about a transaction Verifying a customer's identity Updating customers about their order status via text message Reaching customers through marketing campaigns Receiving customer feedback through phone surveys Connecting customers to a loyalty program Improper phone number data hinders these processes and negatively affects customer relationships. Despite the importance of knowing a mobile number’s active status and having accurate data, maintaining accuracy can be easier said than done. Phone data can grow outdated as people change numbers, making it harder to keep up with active, usable data. If you don’t have a system to check if a phone number is active, you and your team may waste valuable time and resources contacting inactive phone numbers. How to tell if a phone number is active or not Businesses wanting to stay ahead must know how to check if a number is still in service quickly and efficiently. An efficient process supports consistent customer communication without straining employee workloads. There are three ways to check whether or not a phone number is active. Contact the recipient The first and most obvious way to verify a mobile number’s active status is to call it directly. Prepare a script explaining why you are reaching out to the customer and touch on the information you want to share or gain from them. However, if the phone number isn’t working, that doesn’t necessarily mean it is not an active phone number, as the information may have been inputted incorrectly. To double-check, you can contact the customer through other channels to verify their information. For example, you can email your customers to confirm their phone numbers, although this is a time-consuming method that prevents your team from accomplishing other tasks. How to know if a number is active without calling If you wonder how to know if a number is active without calling, the simplest method is to use verification tools. All you need to do is type the number into the tool, and you will receive feedback on whether it is an accurate and active phone number. Phone number validation tools send a non-disruptive ping to the phone number in question through the network. If the tool receives a response, the number is active; if not, it is no longer in service. This instant process gives quick feedback allowing you to take action based on the result. Phone number verification tools are great because they can verify the accuracy of a single number or cleanse entire lists of inactive numbers. Using these tools periodically lets you maintain a database of accurate data. Real-time phone verification The best way to maintain a database of active phone numbers is to prevent inaccurate or invalid numbers from entering it. Real-time verification immediately tells you whether the customer added an accurate and active phone number so you can vet and correctly format numbers at the point of entry. This tool can be integrated directly into a customer relationship management (CRM) tool or a customer-facing website. Real-time phone verification performs the same as standard verification tools but works directly within a system for immediate feedback. For example, when a customer service representative enters a new customer’s data, the CRM tool verifies in real time the mobile number’s active status or whether it needs to be corrected. The system is also useful when a customer creates a profile on your website and can prompt the customer to make changes if necessary. Integrating a real-time verification tool into your current systems helps you avoid guessing whether or not you have active numbers. Although you should perform list cleansing periodically, real-time verification also saves time in the future by reducing the number of phone numbers that need to be corrected. The benefits of phone verification tools Knowing how to check if a phone number is active without calling is highly valuable for a business. Using phone verification tools improves customer reach and enhances the customer experience by reducing inaccuracy. Altogether, using phone verification tools offers multiple benefits: Providing organizations with confidence in reaching customers Saving time and money by eliminating the need to check numbers manually Ensuring better customer experience through improved contact Allowing bulk phone number verification You can use phone verification tools at the point that data enters the database or at various points in time to check for outdated phone numbers. By integrating verification tools into your current systems, you can streamline your process for maintaining accurate phone numbers and allow your team time to focus on strengthening customer relationships. How to check if a phone number is active with Experian Active phone numbers are crucial for maintaining positive customer relationships and maintaining reliable contact. With Experian’s phone verification tools, you can enjoy convenience and peace of mind by simplifying your processes for checking whether phone numbers are active. Our tools will save you time and energy by providing you with immediate and reliable feedback. Contact Experian to learn more about how to check if a phone number is active without calling and how to use our phone number verification services to improve your customer relationships. Connect with an expert to learn more

Holding onto data is almost useless for a business if it does not have a proper data management strategy. A robust data management strategy relies on a methodical, step-by-step approach—much like how you'd approach building a house. We've used this analogy many times here at Experian Data Quality, but that's only because it makes a lot of sense when referencing data standardization. Data standardization is but one step to building a good data management strategy, but it is a fundamental step in making your data actionable. Just as a solid foundation is essential for a strong house, data standardization is necessary to build a strong data management program. As a result, it is in your best interest to invest in a data standardization system. Data standardization allows organizations that strive to be data-driven to make decisions quickly and efficiently. What is data standardization? Data standardization is the process of transforming or manipulating data into a consistent format. As businesses collect data, the information most likely settles into multiple, disparate systems, all of which may have slightly different rules and formats for how the data is stored. These small differences can result in misunderstandings and misinterpretations of your organization's data. Inconsistent data leads to distrust, second-guessing, and time lost completing checks to verify that the conclusions made off that data are actually correct. In a data-driven business, time will be far better spent acting on data than manually verifying and reformatting it. Standardization takes manual checks out of the equation. With the right data standardization tools, you can spend your time using your data rather than fixing it. How does data standardization work? The business data standardization process takes data from multiple disparate sources and, based on rules you define, transforms it into a consistent, usable format. It gets rid of anomalies and outliers, so that you can identify errors in your data and make it easier to analyze. Due to differing requirements across different systems, along with typos and human error, the data that flows into your organization comes in a variety of formats. Using multiple data entry systems can lead to inconsistent capitalization, punctuation, obscure acronyms, alpha-numeric characters living in fields they shouldn't be, and so on. Data standardization tools eliminate these inconsistencies and help you define how data should appear in your database. Unlike data cleansing, which periodically corrects and eliminates errors in data, data standardization is an ongoing process to connect and sync formatting across multiple data entry systems. Data standardization is helpful for properly formatting: Country and state abbreviations Email addresses Company names Addresses Common typos and mispellings Phone numbers How does data standardization benefit my business? Data standardization is crucial for a data-driven business. Any business can store data, but clean, clearly formatted data that can inform business operations will set a business apart. The advantages of data standardization allow your business to do the following: Improve data accessibility Data is most effective when it is accessible to as many people in an office as possible. When data can be easily shared between staff members and departments, businesses are more efficient in decision-making and developing action steps. Consistent data allows everyone to be on the same page at all times without needing to reconsider or reformat data. Save time and money Second-guessing your data has consequences. The need to manually verify and correct data uses valuable time that could be spent making decisions and taking action. Data standardization confirms that your data is formatted consistently regardless of which system was used to collect it, and consistent data means you can trust your investments. Make more informed decisions Data that follows a common format is easier to interpret, sort and analyze. Easy-to-interpret data allows you to recognize trends and gain further insight into your customer base, allowing you to better informed decisions as a result. When you make data-supported decisions, you are able to strategically target your spending and investments, providing you with a higher return. Reach your customers Standardized data plays a key role in reaching new and previous customers. Consistent formatting for data like email addresses and postal addresses ensures that you can reach your customers through targeted marketing campaigns. With reliable data, you position your campaign to be as successful as possible and do not waste money sending to incorrect or improperly formatted addresses. Why should my business standardize data? Ultimately, standardized data increases efficiency and potential. If you're still in need of convincing, I'd be happy to share a personal use case. My organization relies on a marketing automation platform, a CRM, and Google Analytics, in addition to more platforms that all collect and store data. This data is crucial for business-wide forecasting and projections. As we strive to gain insight from our data, it is imperative that everyone has a standardized view and understanding of the data being used to make these decisions. Unstandardized data would be a nightmare in these processes, leading to confusion between departments and wasted time spent manually converting data. It is necessary that everyone in the business is on the same page and is able to easily interpret and analyze data, otherwise, data is more of a burden than a value. If you're undergoing a data migration or modernization project or if you've been charged with cleaning up your customer database before initiating a loyalty program or marketing initiative, data standardization is a non-negotiable first step in the process. Data is one of the most important assets businesses hold today. It can either empower your organization to connect with new customers and reach new heights or be a deadweight that wastes time and drags your team down. I think the choice here is clear. Standardize your data for a higher return on investment Why run the risk of letting inconsistent data sabotage your success? Treat your data as a strategic asset. Easy-to-interpret and reliable data is invaluable for decision-making, systems efficiency and building customer connections. Standardization is the key to maximizing its potential and seeing higher gains from your data. At Experian, we can help you standardize your data to increase its value. Fill out the form to learn more:

High-quality leads are crucial for sales success. These leads are not just names and phone numbers on a list; they represent potential customers who have shown genuine interest in a company's products or services and are more likely to convert. By focusing on lead quality, sales teams can allocate resources more effectively, prioritizing leads that are more likely to result in successful sales, increasing the conversion rate, and enhancing overall productivity. Enter phone validation, the process of verifying that a phone number is accurate, active, and capable of receiving calls or messages. Ensuring it is correctly formatted and belongs to a legitimate carrier, and an essential tool in enhancing lead quality. This reduces time on invalid leads and improves the chances of successful communication and engagement with potential customers. Furthermore, phone validation can help identify fraudulent or duplicate entries, maintaining the integrity of the lead database. Benefits of implementing phone validation Implementing phone validation helps maintain a clean database, streamline operations, and maximize the return on investment in marketing and sales efforts. Here are some of the key benefits our clients have reported. Improved accuracy: By verifying the accuracy of phone numbers, including format, country code, and activity status, you can enhance your overall communication strategy, ensuring messages reach the intended recipients seamlessly. Enhanced efficiency: Phone validation allows you to quickly identify and eliminate invalid phone numbers from their contact lists, allowing sales and marketing teams to focus on leads with higher conversion potential. Efficient lead management translates to a more productive workforce and quicker response times to potential customers. Cost-effectiveness: Removing invalid or inactive phone numbers helps avoid costs associated with unsuccessful outreach attempts, allowing investment in quality leads with a higher conversion potential. Better targeting: Validated phone data enhances audience segmentation, enabling more effective targeting to specific customer profiles. With validated phone numbers, tailor marketing campaigns to specific demographics or customer profiles, ensuring messages are relevant and engaging. This enhances customer relationships, increases conversion rates, and drives higher revenue. Steps to implement phone validation Ready to onboard a phone validation solution into your existing tech stack? Keep these steps in mind when choosing the right solution for your business. Choose the right phone validation service provider: Consider deployment options, accuracy, reliability, user-friendliness, data freshness and advanced software. Integrate phone validation into your existing sales process: Prepare your CRM or sales software to incorporate the validation service, ensuring real-time verification without disrupting workflow. Train your sales team on the new process: Conduct comprehensive training to familiarize them with the technology and explain how it enhances lead quality and customer interactions. Experian Phone Validation offers simple and actionable validation responses, flexible deployment methods to suit any environment, and a user-friendly portal. Our phone validation solution covers 1500+ telecommunication providers in 240 countries and territories that standardize the format, add international dialing codes, and process data checks with telecommunication providers. In addition, we offer Phone Append that return the phone number associated with the user's name and address and Reverse Phone Append that helps tie your existing phone data to other important customer data. In today's competitive market, ensuring the quality of leads is crucial for any successful sales strategy. Phone validation stands out as a powerful tool in enhancing lead quality, improved data accuracy, cost efficiency, increased conversion rates, and improved customer engagement. By integrating phone validation, you can enhance lead generation processes, boost efficiency, improve client communication, and ultimately achieve higher success rates. Implementing this technology can help sales solidify a foundation for sustained growth and competitive advantage. Start today with a free trial of Experian’s Phone Validation solution. Reach out to one of our data quality experts to learn more about our comprehensive product suite. Fill out the form to learn more:

Data-driven decision making has become a necessity for the best businesses to stay on top of their daily operations and respond to areas for improvement. However, the quality of this data will greatly affect how useful it will be. Maintaining a high quality of data allows you to make decisions that improve customer relations and increase revenue. Poor quality data informs poor decisions and restricts access to customers while also using up time and resources to correct. Because of its capabilities, data should play a vital role in informing your business decisions. As a result, your business should have a clear and well-thought-out plan for how data will be collected, maintained and analyzed. Improving your data quality through careful data collection and maintenance should be a key part of your business operations and will set your business apart from the others. Benefits of improved data quality Improved data quality gives you a complete, accurate picture of your business and the customers you serve, allowing you to make more informed decisions that save time and money. High-quality data can be used to inform marketing campaigns that increase customer engagement, develop more trust in customer relationships and receive a higher return on investment in sales and marketing strategies. Access to accurate data takes the guesswork out of key business decisions, increasing efficiency and saving costs. By following just a few steps, you can set your business up for success with a clear plan for collecting more valuable data and using it to inform critical business decisions. Steps to improve data quality Many organizations manage data quality through separate departmental strategies, which can lead to inconsistent standards, duplicated efforts and less effective outcomes. Assigning a single data owner, such as a chief data officer, creates clear accountability for the quality, governance and standards of your data assets. Centralized ownership can also help align data quality initiatives with broader business goals and improve collaboration across departments. This central data owner should be supported by a team of data professionals—such as data stewards, data service officers, analytics professionals and data scientists—who can help enforce policies and promote the use of data to drive insights across the business. Implement proactive processes Improving your data quality requires careful and constant consideration to help your business maintain a strong and effective data strategy. Your business should develop a clear plan for using and analyzing data as well as keeping that data up-to-date and accurate. To improve and sustain your business’s data quality, you should carry out the following steps: 1. Develop your objectives Data quality means something different across different organizations. For some, it’s ensuring that customer contact data is accurate so that shipments are received in a timely manner. For others, it could be complete prospect profiles that help with marketing segmentation efforts. At its heart, data quality is about being fit for a desired purpose. In order to collect meaningful data, your business should have clear objectives in place for how this data will be used to improve decision-making and daily operations. When developing your objectives, you should consider the following factors: Your business goals How you measure progress towards goals What data you need from customers and clients How this data will be used and analyzed 2. Assess your current data Before implementing any data quality improvement plan, you need to understand where you stand today. Using the data quality sophistication curve, you can determine where you are related to data management efforts and what your next steps should be. There are four stages of sophistication your organization can fall into: Almost half of organizations today fall into the reactive or unaware stage, meaning there is a lot of room for data quality improvement. Data assessment should be a continuous process. The most successful businesses are constantly assessing the quality of their data and the effectiveness of their current data management plan. A constant reassessment of data allows a business to react to areas of concern and make improvements when necessary. 3. Cleanse your existing data Inaccuracies or inconsistencies in your data will harm your data quality and prevent you from using it for effective decision-making. Over time, data sets become riddled with out-of-date or incorrect information as customer data changes or information is improperly added to your database. Data cleansing is the process of correcting incomplete or inaccurate information, fixing formatting issues and more. Issues in your data set that require data cleansing include: Typos in data entries Incomplete data fields Inconsistent formatting of addresses or contact information Out-of-date contact information Duplicate data entries Addressing incorrect information in your database provides you with more confidence that your data provides an accurate picture of your customers and allows you to make appropriate business decisions as a result. There are a variety of tools available to help you cleanse your data. These tools include email address list cleansing, real-time address verification and more to help you cleanse your database of errors and also prevent incorrect information from entering at all. 4. Establish a data collection and management plan Because data collection issues are nearly inevitable, you should have a carefully considered plan in place to prevent these issues from arising and addressing them if they do. Being proactive with your data collection allows you to build a database of accurate and informative data instead of a database that needs to be fixed later. This will allow you to spend more time focusing on making decisions than fixing your data. Considerations for an effective data collection and management plan include preventing poor quality data from entering your database and consistently assessing the quality of the data you already have. Methods to include in an effective plan include: Using tools like real-time email verification to ensure accuracy upon entry Creating required fields on forms to avoid incomplete information Regular, periodic data cleansing to catch errors or outdated information Providing appropriate training to all staff involved in data assessment and decision-making Having a clear data collection and management plan will save your business valuable time and money correcting mistakes and allow you to be confident in using your data for strategic purposes. 5. Develop a plan for maintenance and improvement In order to maintain strong data quality and business growth, your business should have a plan in place to regularly assess the quality of data and its use in decision-making. Data-driven decision-making is a constantly evolving strategy. Effective plans for maintenance and improvement require consistent buy-in from everyone in the business. A data-driven business should foster a healthy culture of improvement where everyone is comfortable acknowledging when change is necessary. The ability to acknowledge when issues like flawed data collection methods or inconsistent data monitoring arise is monumental for business growth. Recognizing these issues and developing an appropriate response helps preserve your investments and will ultimately show greater returns than a business that is resistant to change. How to improve data quality for your business Implementation of data quality technology solutions across a company can streamline and unify data improvement efforts. This will result in the enforcement of consistent data standards across the organization, which means your data can be more easily used for advanced, comprehensive decision-making. To learn more about how to improve your data quality, download our paper on creating a strong and calculated data quality strategy. We also encourage you to try our email verification and data validation tools to strengthen your dataset. Contact Experian today to see how our tools and services can give you the help you need to collect, maintain and analyze accurate and meaningful data. Get help creating a data quality improvement plan

Insurance companies face new challenges as they compete in the digital age. Consumers can research rates, contact employees and even sign up for service without meeting agents face-to-face or calling the company's phone number. This can be a blessing because it provides consumers with the convenience to sign up through their preferred channels when they find the best deals. However, in a competitive market, insurance companies must be able to reach new consumers and gain enough information to meet their needs or risk falling short. With a comprehensive data management strategy and effective data collection tools, insurance companies position themselves to better meet customer needs and demonstrate a strong commitment to developing customer trust. Understanding how your company can leverage consumer data can set you apart from the competition What data do insurance companies collect? Insurance companies collect a variety of data from various sources to better serve customers and respond to their needs. Like other industries, insurance companies collect contact information during customer interactions for the sake of being able to stay in touch with customers and provide them with valuable information and updates. However, insurance companies also have unique, industry-specific data collection methods. Data collection has become especially useful at the scene of an accident or incident. Many companies use mobile apps that allow consumers to report the details of an incident. These reports can collect information like contact details, time and date of the incident and location details. This data is valuable for recognizing trends, understanding individual incidents and properly addressing claims. The importance of data in insurance When insurance companies focus on their data collection tactics, they can be certain they aren't losing any prospects in the pipeline and are providing their customers with the best product options. Data collection for insurance companies provides the ability to gain a single customer view, a complete data profile of a customer and their interactions with your company. This profile, when developed with quality data, provides a useful overview that can inform future interactions and potential ways to reach the customer. However, companies that want to leverage these capabilities must be certain to use data collection tools like address management to perform email verification at the point of entry. Improved data collection processes and better analysis tools allow companies to enhance the quality and utility of their data to better serve customers. With reliable data, companies can focus on using it to find new potential clients, promote new products and even improve the customer service experience for existing customers, demonstrating a commitment to valuing customers on a personal level. Establishing a more structured method for data collection and handling can also improve information security and help insurance companies avoid circumstances such as those that recently affected the Investment Industry Regulation Organization of Canada (IIROC), where the organization announced that an employee lost a personal device that stored 52,000 customers' personal information. Because insurance companies deal with such valuable and personal customer information, a secure data management system with security tools is necessary. Maintain high-quality data While insurance providers once relied on staff members to type in customer data, companies are now saving time and money by supporting self-service, the source adds. Unfortunately, this can also lead to a higher error rate if the proper tools are not installed to flag inaccurate or incomplete fields before they are saved and processed. Issues like typos, human error and improper formatting are prevalent during the data-entry process. Insurance data collection tools are highly valuable for maintaining high-quality data, flagging data quality issues and preventing incorrect or incomplete data from entering the database. Incorporating the correct measures at the point of entry is one way to eliminate mistakes when larger volumes of data are being processed. Another strategy involves deploying a system that regularly cleanses information in its flow throughout departments. Data cleansing tools like email address verification are helpful at the point of entry, while tools like data monitoring regularly check the quality of stored data. These tools prevent incorrect information from entering databases and correct mistakes when it does. Verification methods are particularly important when firms are supporting online channels, which are very common sources of data entry errors. Improve your insurance data quality Effective data collection and data quality practices play a critical role in helping insurance companies meet customer expectations, improve operational efficiency and remain competitive in a digital marketplace. By implementing tools that validate, standardize and monitor customer data throughout its lifecycle, insurers can reduce errors, strengthen security and create more personalized customer experiences. Solutions such as address verification, email verification and ongoing data quality monitoring help ensure customer information remains accurate, complete and reliable. Investing in a strong data quality strategy enables insurers to make better decisions, streamline claims and underwriting processes, and build lasting customer trust. Fill out the form below to get started:

Data governance verifies that data meets precise standards and business rules when entered into a database and used throughout an organization, giving businesses more control over their assets. Understanding and integrating data governance into your organization's data strategy is pivotal in an age where accurate data fuels daily operations across various industries. Data governance framework (system) The relationship between data governance and data quality is closely intertwined. Data quality refines your organization's data for accuracy, reliability, and fitness for purpose. Data governance allocates the right resources to data collection, cleansing, and usage.Prioritizing data quality lets your organization establish a sturdy foundation for effective data governance practices by: Mitigating risks associated with incomplete or inaccurate data Protecting against bad decision-making and resource waste Fostering confidence in monitoring, auditing, and accessing data Standardizing data guarantees validity, trustworthiness, and correct formatting. Focusing on data quality aligns the data with data governance principles, allowing your organization to maximize its potential while guarding its competitive edge in the marketplace. The objectives of data governance Data governance objectives are to build data integrity, security, and compliance within organizations. At its core, data governance for businesses works to achieve these key goals: Validating data quality: Standardized processes and automated rules allow organizations to maintain consistent and accurate data across various sources. This consistency enhances operational efficiency while fostering reliable data. Securing data: Effective data governance guards against vulnerabilities and breaches from cyber attacks. Transparent control processes and best practices for data handling protect customers' confidential information and uphold their trust. Facilitating compliance: Adhering to regulatory mandates is necessary for maintaining operational integrity and a good reputation in highly regulated industries like insurance or finance. Creating a comprehensive data governance framework guarantees compliance with industry regulations while avoiding penalties and reputational damage. Prioritizing data quality, security, and compliance allows your organization to unlock the full potential of your data, drive innovation, enhance operational efficiency, and maintain a competitive edge in the digital age. Data governance policies and procedures Implementing data governance means having a strategy with clear policies and procedures tailored to your organization. It necessitates forming policies, rules, and organizational structures within a documented governance framework. Successful data governance relies on planning and execution across three key dimensions: people, processes, and technology. When putting together your framework, focus on: Establishing a strong team: Effective data governance for businesses lies in a dedicated team overseeing data quality and governance initiatives. This team of data managers and stewards checks for alignment between governance objectives and business needs. Defining clear roles and responsibilities lets data stakeholders uphold quality standards and drive governance efforts forward. Developing clear processes: Well-defined processes governing data storage, access, security, and management are central to any data governance framework. These processes are the guiding principles for initiatives to remain compliant with regulations and maintain data integrity. Incorporating the right tools: Technology alone cannot fulfill data governance objectives, but using the right tools streamlines governance efforts. Integrating data governance tools such as data cataloging platforms, classification systems, and data quality tools makes enforcing your organization's governance policies more effective. Data governance tools There are many tools your business can use to increase the effectiveness of your data governance framework. Using data quality tools frees up valuable time in your day-to-day organizational functions by improving the quality and usability of your data. Incorporating data governance tools into your current data management strategy helps: Prevent inaccurate data from entering your database Remove duplicate information Correct errors Store and maintain data Cleanse email lists Continuously update your database with correct information Experian offers several tools handling these above services and more. From our email verification tools to real-time address verification tools, we take the hassle out of managing your data. Then, you have more room to expand your organization's data management strategy. Benefits of data governance Data governance drives organizational success and unlocks the full potential of data assets. Organizations get a multitude of benefits extending beyond regulatory compliance: Preservation of data: Maintaining data quality means data remains accurate, up-to-date, and error-free. Organizations can gain insights for decision-making that contribute to sustained growth and success. Increased data value: Implementing data governance improves data accuracy, consistency, and accessibility. It also drives operational efficiency, reduces costs, and enables faster organizational decision-making. Competitive advantage: Organizations in industries reliant on data-driven decision-making can have a competitive edge when anticipating market trends and delivering superior customer experiences. Enhanced customer experience: Data governance improves the customer experience by verifying that the data used to engage with customers is correct, reliable, and actionable. Then, organizations can personalize interactions, deliver targeted promotions, and deliver exceptional customer service. Security: Data governance promotes a culture of trust and transparency, safeguards sensitive data, protects organizational assets, and fosters stakeholder confidence. Data governance enables businesses to harness the full potential of their data assets while certifying compliance, driving innovation, and delivering value to customers. Data governance challenges Despite data governance's importance for organizations, these initiatives often come with their own challenges: Organizational alignment: Aligning stakeholders across your organization around key data assets, definitions, and formats is difficult. Opposing views on data entities can impede progress and cause conflicts. Everyone must work together and communicate to establish common data definitions and formats. Lack of support: Successful data governance programs need sponsorship from executives and individuals. Without adequate sponsorship and support, governance efforts may lack direction and fail to gain traction. Relevant data architecture and processes: Implementing an effective data governance program relies heavily on the right tools, data architecture, and processes. Adopting data catalogs and metadata management processes is essential for creating an accurate and relevant data inventory. Securing sufficient resources and skills: Organizations must allocate funding, leadership, and expertise to governance efforts. Appointing the right individuals to key roles and providing training and support are critical for program success. Governance in the cloud: As organizations increasingly use cloud-based technologies, managing data security, compliance, and privacy presents challenges concerning data residency and sovereignty issues. Governance practices must adapt to the cloud while maintaining consistency and compliance across hybrid and multi-cloud environments. Managing expectations and internal changes: Due to significant organizational changes, data governance is often slow. Setting realistic expectations and implementing change management strategies is essential for overcoming internal resistance. While data governance for businesses has substantial benefits, organizations must navigate numerous hurdles to implement governance initiatives successfully. Future trends in data governance The future of data governance indicates a significant shift in mindset and technological advancements. Looking forward, some current developments in data governance include: An all-company approach: Data governance is transitioning from confinement to specific departments towards a collective responsibility for data management. Data governance as a service (DGaaS): Third-party providers offer DGaaS to help organizations classify and map data, securely store data in the cloud, and establish governance models for better accessibility and scalability. Data lineage in generative AI: As Generative AI adoption grows, there is a bigger focus on data lineage for error detection and post-hoc analysis, driving the need for sophisticated data governance Automation of data governance: Automation is pivotal in data governance, enabling organizations to streamline governance tasks, improve data quality, and stay compliant through automated processes and AI-driven tools. Ethics and privacy concerns: Regulations like GDPR and CCPA maintain ethical data governance practices and transparency. However, as more cloud-based services become available, more regulations will need to be created to address privacy concerns regarding ethical data usage. As data governance evolves, comprehensive frameworks encompassing data, roles, processes, communications, metrics, and tools are essential for your organization. Incorporating data governance into your business Data governance is necessary for any organization's data management strategy. Taking the proper steps to govern your data means maintaining reliable data, making well-informed decisions, and complying with industry regulations. Experian's data governance tools streamline your data management processes so you can focus on using your data properly. Contact Experian today to learn more about how our data management solution can help with your data governance initiatives. Fill out the form below to learn more:

What’s happening in the world of contact data verification? Why is it important? And what should you be looking out for? When address validation first became a product, the focus was on increasing the effectiveness of direct mail campaigns and ensuring delivery of important account notifications and legal documents. But times have changed and while these are still important reasons for employing an address validation solution, there are now even more reasons and benefits. Address validation enables eCommerce With the advent and rapid growth of eCommerce, the capacity of carrier services to deliver packages within a short timespan became stretched and the services offered were too limited to meet all needs. This created the need for third-party logistics companies and greater use of traditional business carriers, such as UPS and FedEx, for residential deliveries. In turn, these alternatives often charge fees returning undeliverable mail or to correct inaccurate mailing addresses. In recent years, these fees have become substantial, and vendors are turning to address validation to help reduce or avoid such charges. Originally viewed as a distant competitor for brick-and-mortar retailers, eCommerce has since become a vital component for omnichannel retailers hoping to not only gain business growth from their eCommerce channel but also to drive traffic to their stores via “buy online and pickup in store” and “curbside pickup” options. Digital acceleration, as evidenced through the growth of eCommerce, has reduced the timescale during which it’s acceptable to verify the accuracy of information, from days or weeks to seconds. You need the correct consumer contact data right now. Verifying the reliability of consumer contact data regularly used to be entirely adequate. Now, with consumers expecting to be able to make substantial purchases or open accounts online within minutes, the need for real-time validation and authentication has also become important. The bottom line: Implement an easy-to-use address verification software that quickly identify errors at the point of capture. Make sure the solution can also validate and format stored addresses to meet the standard address format. Not only will the fix and verify an address that a customer enters but you will also see a significant ROI on eCommerce, direct mail campaigns, and more. Reliable address data results in high ROI In today’s world, address validation software is even more valuable to digital acceleration. This helps you see higher ROI on eCommerce deliveries and can also be used to better understand who your customers are, even in a digital market. Address verification is a key component of identity matching—a way to ensure that enrichment data, such as demographic information, credit/income bracket, and lifestyle segment data, is correctly assigned. Data enrichment gives you a sense of what they really care about. Pair that with the right customer address, you have consumer psychographics and demographics to properly target them through preferred channels, like eCommerce, and deliver a personalized customer experience through marketing efforts. Of course, having accurate customer data also makes the marketing and eCommerce budget go further for all the reasons we listed above and way more. Here’s an example: Without accurate customer data—contact and enriched information—special offers designed to acquire new loyalty program members or first-time subscription service users can be taken advantage of by existing customers signing up under different names, family member names, or variations of their own name. A quick check of who’s already signed up at their address can help reduce the occurrence and also make sure that you are targeting your customer base with a message that will resonate. Reasons why you want address verification Accurate address data is the foundation of efficient operations and positive customer experiences. As organizations increasingly rely on digital channels, validating addresses at the point of capture helps ensure customer information is correct from the start. Address verification can help organizations: Reduce delivery failures by ensuring packages, statements and important communications reach the intended recipient the first time. Lower operational costs by minimizing returned mail, address correction fees and the time spent resolving delivery issues. Support a seamless customer experience by preventing delays caused by incorrect or incomplete address information during checkout, registration or account creation. Improve marketing performance by ensuring campaigns reach the right audience and reducing wasted spend on undeliverable mail. Strengthen customer data quality by standardizing address information and creating more accurate customer records across systems. Enable better business decisions by providing reliable location data that supports customer analytics, demand forecasting, territory planning and service optimization. Without address verification, organizations may experience: Increased returned mail and undeliverable shipments. Higher shipping and address correction costs. Duplicate or incomplete customer records. Delayed customer communications and fulfillment. Reduced marketing effectiveness due to inaccurate contact data. Poor customer experiences that can impact trust and loyalty. By validating addresses in real time and maintaining accurate records over time, organizations can improve efficiency, reduce unnecessary costs and build a stronger foundation for customer engagement. How Experian can help Maintaining accurate address data is essential for improving operational efficiency, reducing delivery issues and creating better customer experiences. Experian's address verification solutions help organizations validate, standardize and enrich address information at the point of capture and across existing databases. Whether you're verifying addresses in real time during online transactions or cleansing large volumes of existing customer records, Experian's solutions help improve data quality, reduce costly errors and support more reliable business processes. By ensuring address information is accurate and complete, organizations can streamline deliveries, improve customer communications and make more confident, data-driven decisions. Contact us to learn more:

The Consumer Financial Protection Bureau's (CFPB) Regulation F transformed how debt collectors communicate with consumers by establishing clear rules for digital outreach. Today, email, text messaging, phone calls, and certain social media communications remain valuable tools for engaging consumers while maintaining compliance with the Fair Debt Collection Practices Act (FDCPA). As digital communication continues to shape customer expectations, organizations have an opportunity to improve engagement, streamline operations, and enhance the consumer experience—provided they have accurate contact data and compliant communication practices in place. What is Regulation F? Regulation F is the CFPB's implementing regulation for the FDCPA. It establishes guidelines for how debt collectors communicate with consumers across both traditional and digital channels. The regulation permits collectors to communicate through channels such as: Email Phone Text messaging Certain social media platforms At the same time, Regulation F includes safeguards designed to protect consumers from excessive or unwanted communications. How does Regulation F work? Regulation F is the CFPB's implementing regulation for the FDCPA. It establishes guidelines for how debt collectors communicate with consumers across both traditional and digital channels. The regulation permits collectors to communicate through channels such as: EmailPhoneText messagingCertain social media platforms At the same time, Regulation F includes safeguards designed to protect consumers from excessive or unwanted communicationsRegulation F outlines requirements for both the frequency and manner of communications with consumers. For telephone communications, collectors are generally limited in how often they may attempt to contact a consumer regarding a specific debt. The rule creates a presumption that a debt collector violates federal law if they place more than seven telephone calls within seven consecutive days about a particular debt, or within seven days after having a telephone conversation with the consumer regarding that debt. These telephone call limits do not apply to email, text messaging, or social media communications. However, digital communications are subject to their own compliance requirements. For example, electronic communications must provide consumers with a clear and simple way to opt out of future messages sent to that email address or phone number. Consumers may also use these channels to refuse payment or request that communications cease, consistent with the FDCPA. Organizations that incorporate digital outreach into their collections strategy should ensure their communication practices align with Regulation F while providing consumers with a positive, transparent experience. Regulation F in today's collections environment Digital communication has become an established part of collections operations. Many consumers prefer the convenience of email or text messaging over traditional phone calls, making accurate digital contact information increasingly important. As organizations expand their digital collections strategies, success depends on more than simply adding new communication channels. High-quality consumer data helps improve deliverability, reduce operational inefficiencies, and support compliance efforts by ensuring communications reach the intended recipient. How Experian supports compliant digital collections A successful digital collections strategy depends on reaching consumers through accurate, reliable contact information. Experian's email append and verification solutions help organizations improve email coverage, validate deliverable addresses, reduce bounce rates, and support compliance efforts with higher-quality consumer data. By strengthening the accuracy of customer records, organizations can communicate more confidently while improving the effectiveness of their digital outreach. Why data quality matters A successful digital collections strategy begins with trusted consumer data. Accurate email addresses help organizations: Improve consumer engagement Increase email deliverability Reduce bounce rates Support regulatory compliance Create a better overall customer experience Improve operational efficiency With more than 20 years of experience in data quality, Experian helps organizations communicate with greater confidence through industry-leading email verification and email append solutions. Looking ahead Regulation F established a framework that continues to support compliant digital communications in debt collection. As consumer preferences evolve, organizations that combine compliant outreach practices with high-quality contact data are better positioned to improve engagement while delivering a more seamless customer experience. Experian's email verification and append solutions help organizations build stronger digital collections strategies by providing accurate, actionable consumer contact information. Fill out the form to learn more:

Having two addresses may sound unusual, but for many people and businesses, this is quite common. Different addresses have different functions and purposes. When trying to reach customers, many businesses often mix up mailing addresses and physical addresses. If you are a business trying to deliver the best service possible while maintaining efficient operations, this distinction matters. Sending a package to the wrong address could be wasting your business’s time and money, so it is crucial to understand the differences between the two and know how to prevent yourself from unnecessary confusion. The difference between a physical address vs. a mailing address With growing populations in urban centers and a constant flow of mail, postal carriers need to maximize their efficiency and cannot reach every single physical address. Knowing the difference between a mailing address and a physical address is important for helping you to both properly send and receive mail. The following distinctions can help you plan your next mail campaign and avoid wasted resources. What is a physical address? A physical address is a location either where a person lives or a business conducts its operations. Your physical address also determines your governing jurisdiction, dictating which entity you pay taxes to, what laws you follow, and what services or utilities you have access to. Many times, you can receive mail at a physical address, but there are restrictions that can prevent an individual or business from doing so. If a physical address is an office within another building or a home within a larger complex, mail may not go directly to the physical address for the convenience of the postal carrier. This is where a mailing address comes in. What is a mailing address? Although a mailing address can be the same as a physical address, it can also be completely removed. A mailing address may refer to anything from a post office where a resident receives mail to a corporate business park where a business has large packages sent. Unfortunately, a mailing address can only be used for receiving mail and cannot be used for other administrative tasks like registering a business or proving residency in a state. The most common example of a mailing address is a PO box. However, a PO box can only receive postal mail, and carriers like FedEx and UPS will not deliver packages to mailing addresses. Fortunately, there are other third-party companies working to fill in this gap and get packages to their final destination. Why might a physical address and mailing address be different? In some cases, a mailing address may exist to make mail delivery more efficient for a postal carrier, while in others, a separate mailing address is beneficial for the person who is receiving the mail. The following are some of the most common reasons that a person’s physical address and mailing address may differ. Your physical address is in a weather-challenged area The United States Postal Service (USPS) is remarkably efficient. However, sometimes weather obstacles are too much. In areas where frequent snowfall or other weather events make it difficult for carriers to reach the physical address. An example of this might involve mail being delivered to a central lower-elevation location for houses up on mountain roads or in widespread rural areas. You have a unique ZIP code ZIP codes are assigned to various areas throughout the US to help the USPS route mail to the proper locations more efficiently. In special cases where a large recipient receives large amounts of mail, the area will be given a unique ZIP code. This is common for large businesses, universities, and government agencies. If you reside in one of these areas, then your mail will be directed to that entity’s postal location instead of directly to your physical address. The organization or business then distributes the mail depending on their policies. You have a military address Similar to cases with unique ZIP codes, if you reside within a military base, then the mail will be delivered to the military post office or location that receives mail. Once the military post office receives the mail, it will be distributed based on their policies. You use a PO box PO boxes are typically held in a section of a post office or in a third-party business that rents them out. You are given a key to a mailbox and can come by periodically to check on it. PO boxes are often useful for those who live with others or don’t feel comfortable receiving sensitive mail at their physical address. Having a locked mailbox at a separate location helps provide an extra sense of security and protection over important mail. It also allows you to receive mail without disclosing your physical address. You have a new street address In 2013, the USPS changed its mail delivery policy for new addresses. Instead of delivering from door to door, the USPS announced it would deliver to centralized mailboxes. Therefore, in newer housing communities or apartment complexes, mailboxes are all located in one centralized location instead of at each home. This policy helps save the postal carriers time by not having to commute door to door. What is a virtual address? A virtual address is similar to a mailing address in that you can receive mail at a location where you do not need to be physically present. Having a virtual address is helpful for individuals who own small businesses or LLCs, as it can also be used to register your business like a physical address. Using a virtual address can provide multiple advantages, like: Offering additional beneficial services like storage or outgoing mail services Saving time and money Allowing you to receive both mail and postal packages Providing credibility to your business Why is it important to know the difference? Mixing up a mailing address with a physical address can be costly. Not only do you lose the money spent on shipping fees and return fees, but you also waste time and resources that could be spent elsewhere on correcting the mistake. By getting the addresses right the first time, you can focus on what really matters—connecting with your customers and planning your next business moves. Unfortunately, in many cases, it can be impossible to tell the difference between mailing addresses and physical addresses just by looking at them. On the bright side, Experian’s address verification and real-time validation tools make it easier to decipher between the two, allowing you to reach customers without skipping a beat. These tools also help you to keep your address lists clean over time, allowing you to avoid holding on to outdated or improperly formatted addresses in your database. As a result, you can have consistently more reliable information and make more informed decisions about those you serve. Keep track of all your addresses with ease When operating a business, you can’t afford to act on the wrong information. Save your business from wasting the time and resources spent on return mail by using the right tools to maintain clean and accurate address lists. At Experian, we offer a number of address cleaning services to keep your business operating at its best. Contact us today to learn more about you can leverage these solutions for your sustained success.

Do you know where to find specific data in your business or who to contact for that data? Modern businesses know that making data-driven decisions is critical to improving their bottom line. A strong data governance strategy saves time and money by improving data quality and making it easy for teams to get the information they need. By following data governance best practices, you can reap the benefits of implementing the best data governance framework for your business. What is data governance? Data governance is the set of processes that make sure data meets business standards and rules as it’s entered into a system. It lets businesses control the management of data assets. Data governance involves three aspects that make sure data is usable, accessible, and fits its intended use: People Process Technology A data governance plan is important for different types of organizations and industries. It’s especially important for those that have regulatory compliance, such as finance and insurance. To meet compliance regulations, organizations must have formal data management processes in place to govern their data throughout its lifecycle. While data governance is a key focus for many organizations, not all strategies return the anticipated results. Best practices for data governance Following strong data governance practices means your business gets the most from a data governance strategy. We know what methods work best when building a data governance policy. When developing your data strategy, one of the best data governance tips is to first focus on people, then refine processes, and finally integrate technology. 1. Get business stakeholders on board To begin creating the best data governance strategies, you need executive buy-in, but getting a green light is just the start. You also want to inspire stakeholders to take action so your governance plan is adopted across your organization. The best way to get executives excited about your plan is to build a business case for your data governance practices. By building a business case, you show leadership the specific benefits they can expect from a data governance strategy. 2. Data stewardship Data governance practices are only successful when roles, responsibilities, and ownership structure are clearly defined. Defining the data governance roles of team members across your organization creates the framework on which a governance plan runs. The goal of data governance is to improve data quality and collaboration between teams. It needs input and data ownership from all parts of your organization. While each organization’s data governance structure will look slightly different, there are a few key players to use in your framework: Data governance council or board: This team oversees the entire governance strategy. They help guide the data governance plan through strategic suggestions, typically prioritize aspects of the strategy, and approve new policies. Tactical team members: Members of the tactical data governance team develop data governance strategies based on the council’s suggestions. They create the data processes and policies that are then approved by the data governance council.Owners: Data owners are the team members responsible for specific data. They are the person of contact when someone needs a certain type of data. For example, if you need last month’s sales information, you contact the sales data owner.Data users: Team members actively inputting and using data as part of their regular work responsibilities. Putting the right people in the right roles is one of the best practices for data management, especially when creating a data governance framework.  3. Data quality management Your business needs data quality management to create the best data governance strategies. It enables you to harness the full potential of your data assets for informed decision-making, competitive positioning, and customer satisfaction. By guaranteeing consistent, secure, and credible data, your organization can unlock numerous benefits contributing to your success in today's dynamic marketplace. Data governance is pivotal in unlocking better data quality by creating systems promoting actionable, accurate, and complete data. It empowers your business to adapt swiftly to evolving market trends and customer preferences. Your business can enhance the customer experience by delivering personalized communications, promotions, and customer service interactions. High-quality data is needed for informed decision-making, and having it means you can confidently navigate any challenges your business faces and achieve your objectives. 4. Use metrics to measure progress As with any change, it is critical to measure progress and display the success of your data governance program. Once you have executive sponsorship from your business case, you need data to support each step you take. Plan on defining your metrics before you start introducing data policies. This lets you set a starting point based on your current data management practices. Track your progress using the original metrics regularly. Not only does this show how much progress has been made, but it serves as a checkpoint to make sure your data governance best practices are effective in practice and not just in theory. A plan that’s flawless on paper may not transfer to real life as well as you hoped. It is important to keep a close eye on your governance strategy and be flexible regarding adjustments and improvements. 5. Data security and privacy When creating your data strategy, it is crucial to make sure your business’s data is safe and private. Data security practices protect data against unauthorized access, alteration, or destruction. Encryption techniques, access controls, and authentication mechanisms are commonly employed to mitigate risks associated with data breaches. Additionally, organizations often implement firewalls, intrusion detection systems, and data loss prevention solutions to bolster their defense mechanisms against external threats. Data privacy concerns the ethical and legal obligations surrounding the collection, use, and disclosure of personal data. With more data-driven technologies available and the increasing volume of personal information collected by organizations, customer concern about privacy continues to grow. Organizations must adhere to established privacy regulations such as the GDPR (General Data Protection Regulation) in Europe or the CCPA (California Consumer Privacy Act) in the United States. Complying with these regulations means implementing privacy policies, data anonymization techniques, and consent management procedures to protect customer’s privacy. The best data governance strategies establish clear guidelines for data usage and dissemination for accountability purposes and to foster responsible data stewardship. The best way to handle security and privacy in a data governance plan is through transparent communication regarding data practices, along with regular audits and assessments.  6. Encourage frequent communication Whether you’re just starting a data governance program or have been practicing one for years, communicating early and often is essential. Consistent and effective communication helps show the impact of the strategy—from highlighting successes to reorganizing after a setback. An executive team member, such as the Chief Information Officer (CIO) or Chief Data Officer (CDO), should become the communications leader of the data governance program. These leaders are the central contact for the current status of governance practices across the organization. Team leaders and data owners can give regular updates to the executive. The executive team member then brings the most important updates to the rest of the leadership team and the organization as a whole. 7. Data architecture and metadata management Another one of the best practices for data management when creating your data strategy is using the right tools, data architecture, and processes. Data architects are critical in developing appropriate models and architectures to integrate and manage data across disparate systems. Central to a data governance framework are well-defined processes governing data storage, access, security, and management.  Metadata management processes allow your organization to maintain an inventory of data assets and verify their relevance and accuracy. Well-defined data governance processes govern data storage, access, security, and management, ensuring compliance with regulatory requirements and maintaining data integrity throughout its lifecycle. All of these processes are tailored to your organization's objectives and structure, serving as guiding principles for data governance initiatives.  8. Data governance is a practice, not a project Creating a data governance program often feels like tackling a new project. You might be tempted to assemble a team to take on the project while the rest of the organization waits for it to be done. This is where many businesses see their data governance strategies slow down. A data governance strategy isn’t a one-time project. There is no set end date or conclusion. Instead, it’s an ongoing practice that’s introduced as a regular policy. Much like dress codes or policies for requesting time off, the best data governance strategies become part of everyday life at your organization. Ready to put data governance practices to work? Implementing the best data governance framework for your business helps it work more efficiently, but you’ll need to build a business case for stakeholders before getting started. Find out how to get the green light for your data governance strategy by connecting with our team today!

Regardless of what industry your business falls into, email remains one of the most powerful tools your team can leverage for marketing initiatives. But here's the thing—no matter how great your email content is, it's almost useless if it's not reaching the right audience. If you're sending emails to invalid, outdated, or fake addresses, you’re essentially throwing time and money down the drain. That’s where email verification comes into the equation.  By ensuring that your email list is clean, up-to-date, and accurate, you significantly boost your chances of success. With the help of email verification, you can improve deliverability, protect your sender reputation, and drive better engagement with your audience. In this blog, we’ll walk through the real-world benefits of verifying email data and provide some email verification examples that show exactly how this simple tool can transform your email marketing strategy.  Why email verification matters: The real-world benefits Boosted deliverability rates Email verification ensures your emails reach active inboxes and not invalid addresses, reducing bounce rates and protecting your sender reputation. Using bulk email validation to clean your list and real-time email validation during sign-ups helps keep deliverability high and resources focused on valid contacts. This means your messages are more likely to reach engaged recipients, improving overall campaign performance. Clean lists also lead to fewer delivery issues, allowing for better targeting and increased chances of reaching key customers.  Enhanced sender reputation Writing compelling emails is important, but ensuring they land in your recipients' inboxes—rather than their spam folders—is just as crucial. Your sender reputation plays a key role in whether Internet Service Providers (ISPs) deliver your emails to inboxes or mark them as spam. Sending emails to invalid addresses or engaging in poor practices can damage your reputation, potentially leading to blacklisting.   Using email verification tools helps maintain a clean, verified email list, safeguarding and improving your sender reputation. A strong reputation boosts the chances that your emails are delivered, opened, and engaged with—critical for the success of your marketing campaigns.   Cost savings Email marketing can get expensive, especially if you’re paying based on the volume of emails sent. Sending emails to invalid addresses is a waste of resources since not only are you paying to send emails to inboxes that won’t engage with your content, but bounced emails can lead to increased costs for managing and cleaning your list. Plus, some ESPs may even charge you additional fees or suspend your account if your bounce rates are too high.  By verifying email addresses before sending your campaigns, you save money by ensuring your emails only reach valid addresses. This also helps reduce costs related to managing and cleaning your email lists, making email verification a smart investment for businesses looking to improve cost efficiency while maximizing ROI.  Boosted engagement rates A clean, verified email list translates directly into better engagement. When you ensure that your emails are delivered to real, active addresses, your chances of getting a positive response increase. This includes higher open rates, more clicks, and increased conversion rates. The result? More successful campaigns and better overall marketing performance.  Furthermore, when you target engaged users, you’re able to nurture better relationships with your audience, which fosters customer loyalty and repeat business. Engaged subscribers are more likely to share your content, sign up for events, and make purchases.  Enhanced data quality Potentially one of the most overlooked, yet important, benefits of email verification is the improvement of your overall data quality. By eliminating invalid and outdated email addresses from your list, you’re left with only accurate, actionable data and taking a proactive data approach. This higher-quality data allows you to make more informed decisions about your marketing strategy, personalize your campaigns effectively, and improve the overall experience for your customers.  Email verification examples: real world examples Now that we’ve discussed the benefits of email verification, let’s explore some email verification examples that demonstrate how this process can directly impact businesses.  Example 1: Retail A popular retail brand was facing declining email performance, with many of their promotional emails either bouncing or ending up in spam folders. After adopting email verification, they cleaned their list by removing outdated or invalid addresses, ensuring that only active, engaged customers received their emails. This simple adjustment led to a noticeable improvement in deliverability, boosting open rates, engagement, and ultimately, sales. With a more refined list, the retailer was able to connect with the right audience, driving more effective campaigns and better overall results.  Example 2: Nonprofit A nonprofit organization frequently uses email to communicate with donors and supporters about upcoming events and fundraising efforts. Unfortunately, they struggled with low engagement and high bounce rates, which impacted their ability to connect with key supporters.  After incorporating email verification into their workflow, the nonprofit was able to identify and remove invalid addresses. As a result, their emails began reaching a more engaged audience. Not only did this increase event attendance, but it also boosted donations and participation, enabling the organization to achieve its goals more effectively.  Example 3: Healthcare A healthcare provider that regularly sends appointment reminders, newsletters, and health tips was struggling with low patient engagement due to undelivered emails. By implementing email verification during patient sign-up and appointment scheduling, they ensured that only valid, up-to-date email addresses were added to their list. As a result, they saw a significant increase in email deliverability and patient interaction. This led to fewer missed appointments, improved patient communication, and a stronger overall relationship between the provider and their patients.  Why your business needs to invest in email verification All in all, the real-world benefits of email verification extend far beyond simply ensuring that your emails reach the right people. By verifying your email list, you improve deliverability, protect your sender reputation, save costs, increase engagement, and improve the overall quality of your data. These advantages can make a huge difference in the success of your email marketing campaigns and help propel your business towards success.  If you’re ready to take your email marketing to the next level, start by verifying your email list today. The benefits are undeniable, and the impact can be felt almost immediately.  Connect with a data quality rep today to learn more about how you can get started. 

Organizations rely on data to make everything from day-to-day operational decisions to long-term strategic investments. But simply collecting data isn't enough. To get value from it, you need both high-quality data and a strong data governance framework. Although the terms data quality and data governance are often used interchangeably, they serve different purposes. Data quality focuses on the condition of your data, while data governance establishes the policies, processes, and accountability needed to manage it throughout its lifecycle. Together, they help organizations build trust in their data, reduce risk, improve compliance, and make better business decisions. What is data quality? Data quality refers to how well your data meets the needs of your business. High-quality data is: Accurate Complete Consistent Timely Valid Fit for its intended purpose Poor data quality can lead to duplicate customer records, failed deliveries, inaccurate reporting, compliance issues, and poor customer experiences. Data quality is maintained through ongoing processes such as: Data validation Data standardization Data cleansing Data matching and deduplication Data enrichment Data profiling and monitoring Rather than treating data quality as a one-time cleanup project, organizations should continuously monitor and improve data as it's collected and maintained over time. What is data governance? Data governance is the framework that defines how data is managed across an organization. It establishes the people, policies, standards, and technologies that ensure data is secure, reliable, and used consistently. A successful data governance strategy helps answer questions like: Who owns this data? Who can access it? How should it be maintained? What quality standards should it meet? How do we ensure compliance with internal policies and external regulations? While governance sets the rules, it also creates accountability for maintaining trusted data across the organization. Data quality vs. data governance: Key differences Although closely related, data quality and data governance address different aspects of data management. Data qualityData governance Focuses on improving the condition of dataFocuses on managing data throughout its lifecycleMeasures accuracy, completeness, consistency, and validityDefines policies, ownership, standards, and accountabilityUses validation, cleansing, matching, and enrichmentUses governance frameworks, roles, policies, and controlsImproves trust in business dataEnsures data is managed consistently across the organization Think of it this way: data governance defines the rules, while data quality ensures the data meets those rules. Why data quality and data governance work together Neither initiative is fully effective without the other. Strong governance establishes the standards your data should meet, while data quality processes continuously measure and improve data against those standards. For example, a governance policy may require every customer record to contain a valid mailing address. Address verification and validation tools help enforce that policy by identifying incomplete, incorrect, or undeliverable addresses before they enter your systems. Together, governance and quality help organizations: Build confidence in business decisions Improve reporting and analytics Increase operational efficiency Strengthen regulatory compliance Reduce duplicate and inaccurate records Deliver better customer experiences Build a stronger data management strategy Data quality and data governance aren't competing initiatives—they're complementary parts of an effective data management strategy. Governance provides the framework, while data quality ensures the information within that framework remains accurate, complete, and reliable. With Experian's data quality solutions, organizations can validate, standardize, enrich, and monitor their data to support governance initiatives and improve confidence in every business decision. Explore Experian's data quality solutions to learn how you can improve data accuracy, strengthen governance efforts, and build greater trust in your data.