Tag: Experian Data Quality

Big Data is no longer a new concept. Once thought to be an overhyped buzzword, it now underpins and drives billions in dollars of revenue across nearly every industry. But there are still companies who are not fully leveraging the value of their big data and that’s a big problem. In a recent study, Experian and Forrester surveyed nearly 600 business executives in charge of enterprise risk, analytics, customer data and fraud management. The results were surprising: while 78% of organizations said they have made recent investments in advanced analytics, like the proverbial strategic plan sitting in a binder on a shelf, only 29% felt they were successfully using these investments to combine data sources to gather more insights. Moreover, 40% of respondents said they still rely on instinct and subjectivity when making decisions. While gut feeling and industry experience should be a part of your decision-making process, without data and models to verify or challenge your assumptions, you’re taking a big risk with bigger operations budgets and revenue targets. Meanwhile, customer habits and demands are quickly evolving beyond a fundamental level. The proliferation of mobile and online environments are driving a paradigm shift to omnichannel banking in the financial sector and with it, an expectation for a customized but also digitized customer experience. Financial institutions have to be ready to respond to and anticipate these changes to not only gain new customers but also retain current customers. Moreover, you can bet that your competition is already thinking about how they can respond to this shift and better leverage their data and analytics for increased customer acquisition and engagement, share of wallet and overall reach. According to a recent Accenture study, 79% of enterprise executives agree that companies that fail to embrace big data will lose their competitive position and could face extinction. What are you doing to help solve the business problem around big data and stay competitive in your company?

 Organizations that can mobilize their data assets to power critical business initiatives will see a distinct advantage in the coming years. In fact, most C-level executives (87%) believe data has greatly disrupted their organization’s operations over the past 12 months. Here are more insights from the newly released 2018 global data management benchmark report: As digital transformation efforts proliferate and become commonplace, organizations will need to implement processes and technology that scale with the demands of data-driven business. Read the full report

Did you know that 80% of all data migrations fail? Like any large project, data migration relies heavily on many variables. Successful data migration depends on attention to detail, no matter how small. Here are 3 items essential to a successful data migration: Conduct a Pre-Migration Impact Assessment to identify the necessary people, processes and technology needed. Ensure accurate, high-quality data to better streamline the migration process and optimize system functionality. Assemble the right team, including an experienced leader and business users, to ensure timely and on-budget completion. 35% of organizations plan to migrate data this year.   If you’re among them, use this checklist to create the right plan, timeline, budget, and team for success.

Data is the cornerstone of retail success today. Yet only 39% of retailers trust their data when making important business decisions.  Your organization — whether retail or not — can start depending on your data and gain actionable insights with these data management tips: Put the right people in place. Get the tools you need. Enrich your data. Collect accurate customer information Arranging for the right people, tools and processes to maintain accurate information helps you stay on top of your data now and lets you leverage that data to stay ahead of the curve. Learn more tips>

The consumer economy has evolved dramatically over the past few years — in large part due to technology and access to large amounts of data. Credit data, especially, can be a powerful asset for financial institutions in this new environment. More than 88 million U.S. consumers use their smartphone to do some form of banking. 67% of consumers made purchases across multiple channels in the last six months. With the help of data scientists, financial institutions can build models that crunch huge volumes of data and append their own customer data to drive portfolio management, customer acquisition and collections decisions across digital and mobile channels. Learn more>

As we kick off the new year, let’s take a look at some interesting things we learned about data quality in 2016. Our latest data quality report found some concerning statistics about companies and their data quality: 56% of organizations report losing sales opportunities due to bad data. 79% say data clearly ties directly to business objectives, but only 2% trust their data completely. 83% report that poor data quality impacts their business initiatives. Data is at the heart of your organization, and the quality of that data underpins the success of many of your business initiatives. Implementing a successful data quality program, therefore, is imperative to your organization’s future. Building a business case for data quality

Businesses believe that 23% of their customer or prospect data is inaccurate. Since 84% of companies have a loyalty or customer engagement program in place, poor data is a costly issue.  The unfortunate reality is that 74% of companies have encountered problems with these programs — and 12% of revenue is believed to be wasted as a result. Is your loyalty program suffering from poor data? There is a cure. Think of data quality as preventative medicine for a costly and entirely avoidable illness. >>Learn more  

For years, organizations have used data to improve operational efficiencies and cost savings. Now they are beginning to use data to optimize or improve nearly every aspect of their organization. When justifying the return on investment for managing data quality, consider these findings from a recent Experian Data Quality survey of U.S. organizations: 23% of customer data is believed to be inaccurate 75% think inaccurate data is undermining their ability to provide an excellent customer experience 79% say it is difficult to predict when and where the next data challenge will arise 77% believe data management is driven by multiple stakeholders in their organization rather than by a single data specialist >>Download: The 2016 global data management benchmark report

Data migrations are very common in today’s business environment. A recent Experian Data Quality study found that while 91% of businesses engage in data migrations, 85% encounter significant challenges.

Data quality continues to be a challenge for many organizations.

According to a recent Experian Data Quality study, three out of four organizations personalize their marketing messages or are in the process of doing so.

Data quality continues to be a challenge for many organizations as they look to improve efficiency and customer interaction.