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To quote The Rime of the Ancient Mariner, ‘water, water everywhere, / nor any drop to drink.’ I think the same can be true of data. While organizations have more data than ever before, very few are able to capitalize on this resource and actually leverage it for insight. There is no question on the value of data. It is viewed as a key competitive advantage, and in some instances, a strategic financial asset. However, translating data into meaningful insight is a completely different task to storing and managing it from a regulatory perspective. We see many companies investing in all sorts of data initiatives, like analytics, machine learning automation, data governance, customer insight, etc. Yet, most companies still report they are not sufficiently data driven. Each year we conduct a global study of data usage and data management practices. This year, we surveyed over 1,000 practitioners on how they want to leverage data. The research dug into some of the obstacles they face and why so few are able to leverage data for insight. We found three key areas emerge. First, there is a large degree of distrust in information. The average professional looking at data does not understand how that data got there, when it is useful, and what state it is in. While data can lead to increased agility and better decision making, a significant level of distrust often causes leaders to fall back on making decisions by gut instinct rather than by informed data insight. In fact, we have consistently seen over the past several years that people believe almost a third of their data is inaccurate. Second, we are seeing a rising level of data debt. Data debt is a lot like technical debt. You have a set of data assets that aren’t necessarily fit for purpose or have a high degree of inaccuracy. Unless you take the time to fix that information and govern it properly, you are always going to have a suboptimal data operation. In turn, poor quality means many companies are not fully seeing the ROI or expected benefit from some of the investments they are making. Finally, there is a data skills shortage. This doesn’t just mean data professionals, like data analysts, chief data officers (CDOs), and data scientists. There is also a general lack of understanding around data within the broader business. We see a growing number of companies talking about enabling wider usage of data across the business and wanting to do more with data insight, but very few people across organizations are truly data literate. Our survey results indicated a tide changing where now most companies report that data literacy needs to be a core competency of employees over the next five years. To generate the level of insight needed to fully leverage data as a valuable asset, organizations have to start to tackle issues around inaccuracy, trust, and certainly data skills. Without fixing these components, organizations will continue to be surrounded by all of this useful data that doesn’t actually provide them with what they need. To learn more about these challenges and our new study, please download the report at https://www.edq.com/resources/data-management-whitepapers/2020-Global-data-management-research/.

As part of the company’s commitment to diversity and inclusion, Experian is celebrating Lunar New Year. This article is by executive co-sponsors of Experian’s Asian American Employee Resource Group (ERG): Dacy Yee, Chief Customer Officer and Jimmy Cheung, SVP of Information Security and Compliance. Lunar New Year, also known as Chinese New Year or Spring Festival, is celebrated in various Asian countries such as China, Taiwan, Vietnam, Korea, Japan, Singapore, Malaysia, the Philippines and others. For some cultures, it’s a 15-day long celebration filled with symbols and traditions that have different meanings. 2020 is the Year of the Rat, which is the first of all the zodiac animals. The Rat is seen as a sign of wealth and surplus in Chinese culture, and those born on the Year of the Rat are optimistic, energetic and likable by all! See the table below to determine your zodiac animal. In our families, the preparation for the Lunar New Year celebration starts a week before the New Year day. We clean the house thoroughly to remove any bad luck from the preceding year and decorate the interior with red objects—a color often associated with good fortune, wealth and longevity in the Chinese culture. Back when we were young, our parents would buy us new outfits to make sure that we looked presentable when visiting friends and families, and would also allow us unlimited access to sweets and treats, as it symbolized a sweet year ahead. The holiday has always been about more than just the coming of a new year. Lunar New Year meant spending time with loved ones, indulging in a delicious Asian feast, and partaking in age-old traditions that gave us a sense of pride and adoration for our culture. These are just some of the things that make the holiday so special to us (that, and receiving hong baos—red envelopes with money—from our elders). This year, our Asian American ERG worked hard to put on an outstanding Lunar New Year; it's our group's largest annual event! Experian enjoyed a diverse cultural showcase of seven different countries, a Chinese sleeve dance, Tinikling (Filipino stick dance), a Taiwanese aboriginal dance, a catered lunch and more. Tinikling is a traditional Philippine folk dance that involves two people tapping and sliding bamboo while dancers step over and in between the sticks. Our Asian American ERG performed tinikling for us today during our #LunarNewYear celebration! 🧧🐀 pic.twitter.com/JiwfzXp3wq — Experian (@Experian) February 6, 2020 We are also proud to announce we partnered with the Center for the Pacific Asian Family (CPAF) and hosted a donation drive to assist in their commitment to ending domestic and sexual violence in Asian Pacific Islander (API) communities. Many of us started the Lunar New Year on a positive note, and we want to ensure that’s true for those in need as well As always, we are so grateful to Experian for providing an environment where we are not only allowed but encouraged to bring our whole selves to work every day. Through various events hosted at Experian campuses across the country, we were able to impact 1,500 employees and expose them to the wonderful cultures of Asia. It is an honor to be able to share this part of our lives with our colleagues and show them how beautiful and rich various Asian cultures are. We look forward to a healthy and prosperous new year. 恭喜發財! Gong Hay Fat Choy! Jimmy Cheung Co-Executive Sponsor Asian American Employee Resource Group Dacy Yee Co-Executive Sponsor Asian American Employee Resource Group Photos taken by Nhan T. Nguyen.

Explore Experian’s insights for customer identity and its interrelationship with security, convenience, and personalization, from consumers and businesses Businesses often talk about creating the ultimate digital experience for customers but far less about the interrelationship between security, convenience, and personalization. This results in siloed security measures at major decision points across the customer journey. And, it’s a disconnect that’s perpetuated through equally siloed CRM systems that strive to identify customer preferences but fail to do so in a consistent and appealing way. The impact on consumers is that they are dragged through a maze of security and risk protocols while at the same time being targeted or re-targeted products and services that are not always relevant. We challenged senior executives at 650 companies to think about whether they can accurately identify their customers and meet their customers’ needs for a relevant experience to not only help them create a more trusted relationship with a consumer but also to reduce fraud losses. We also surveyed over 6,500 consumers who had a lot to say about what constitutes best-in-class digital customer experience. Perception versus reality Our study found that 95% of businesses worldwide believe they are accurately identifying their customers yet 55% of consumers don’t feel recognized.   In our survey last year, 84% of businesses said that if they could better identify their customers, then they could easily spot fraud.  However, 57% of business reported having significantly higher fraud losses this year versus last year.  How can this be true if businesses are in fact as strong as they believe they are at recognizing their customers and thus, presumably by extension, fraudsters? This then begs the question: how are businesses defining “recognition” and is it really working?   Are they recognizing a customer to a person or are they able to categorize a customer into prescriptive buckets such as broad demographic delineations? Expectations for customer engagement Our study also found that 74% of consumers say security is still the most important factor when deciding to engage with a business online. This has been a consistent finding over the past two years. In fact, consumers are even willing to give more personal information for greater security and easier access to their accounts later, once they are comfortable. Despite this, over half of businesses are prioritizing personalization over security when making improvements to their customer experience.  Consumers acknowledged experiencing and appreciating the changes businesses are making to their digital experience however security remained to be their most important criteria for engaging or continuing to engage with a business. What now? Desires for ultimate experience and concerns for security are still shaping the digital relationship between consumers and businesses where identity is at the heart of every customer decision and interaction.  We believe businesses will need to invest further in data, infrastructure, and advanced analytics in order to get to a point of truly recognizing a consumer digitally as opposed to categorizing for broad brush pseudo personalization purposes.  Only then will businesses start to make a dent in fulfilling the high consumer expectations for recognition as well as in mitigating rising fraud. Download our report (15 min read) and find out more about: Challenges standing in the way of businesses trying to identify their customers What different businesses and countries are doing to improve identity authentication The new type of customer journey that executives believe will improve the digital experience

  I am delighted to announce that Experian has been recognised by the Top Employers Institute as a Top Employer in the UK, Spain, Bulgaria and South Africa. The annual research programme recognises leading employers around the world. Organisations certified as Top Employers dedicate themselves to providing the very best working environment for employees through their progressive ‘people-first’ HR practices. Being recognised as a Top Employer four years in a row is a significant achievement for us, but it wouldn’t have been possible without the support of our incredible workforce. By listening to our people and encouraging new ideas, they have continued to help us develop our working culture and pushed the boundaries to create the best possible working environment. An integral part of this is to encourage diversity throughout Experian and that means building our ways of working and our approach in a way that offers equality of opportunity, supporting our employees from the moment they join our organisation, at every level, and letting people work flexibly, in the way that suits them. We have been working hard to create a place where everyone has the freedom to explore and share interests, no matter what their individual story is, without fear of judgement. The more inclined we are to bring our rich outside world to work, the more we will expose others to new perspectives and different thinking, making Experian a great place to work. I’m extremely proud of the progress we’ve made over the last 12 months, with my personal highlights including our on-going partnerships with the likes of Women in Data, Stonewall and the Business Disability Forum, as well as the development of our employee health and well-being offerings. It’s important that we continue to build on this success, looking for new ways to do things, and continuing to provide a working environment that our people love.

This blog is written by Matt Dunn, GTM Managing Director at Experian. The Women in Sales Awards recognises the exemplary efforts of individuals in sales teams across Europe. Open by nomination only, the awards celebrate the achievement of women who go above and beyond in their career. It aims to promote the needs for greater gender diversity in sales and executive leadership teams across the corporate landscape. We place significant emphasis on helping and supporting women to reach senior roles, and I’m delighted that seven colleagues – Laura Webster, Kathryn O’Brien, Liz Clarke, Ivelina Mihaleva, Bally Ubhi, Clare Brown and Caroline McCrystal - were nominated as finalists at the awards. Even better, Caroline was named as the overall winner in the ‘2019 Best Woman in Inside Sales’ category. Not only that, Caroline was also the winner of the ‘Most Distinguished Saleswoman of the Year’ award too. In total, there were more than 1,000 nominations from companies in 22 countries, which goes to show what a remarkable and fantastic achievement to be recognised in such a way. We’re extremely proud of all their efforts this year and I’m sure you’ll join me in congratulating all of the nominees and Caroline on their outstanding success.

We’re delighted to have been named as one of Britain’s ‘Most Admired Companies’ (BMAC) in Management Today’s annual survey, coming 21st in a list of nearly 250 leading firms from a variety of sectors, and taking third place in the ‘Business Support Services’ sector. Our 17,000 colleagues around the world work hard every day to service and power opportunities for our customers and this award is testament to the commitment they bring to our business every day. The hard work doesn’t stop here. We continue to strive for the highest standards across our global organisation, and we remain committed to delivering the very best services that can empower millions of people to stay in control of their finances, and help businesses meet the needs of their customers. For further information on BMAC, the winners and the methodology, please see: https://www.managementtoday.co.uk/bmac

In today's fast-paced markets, businesses of all sizes strive for an edge over competition, especially when it comes to wining over consumers' hearts and minds. Many find that competitive advantage in the way they apply artificial intelligence to improve their customer decision-making for high business performance. Data strategies for high-performance decisioning In today's fast-paced markets, businesses of all sizes strive for an edge over competition, especially when it comes to wining over consumers' hearts and minds. Many find that competitive advantage in the way they apply artificial intelligence to improve their customer decision-making for high business performance.In fact, recent research we commissioned from Forrester Consulting shows that this. The ability to make meaningful decisions that match your customer's context at a given point in time requires a solid understanding of their needs and goals. Having access to relevant data is essential to consistently deliver experiences that matter. Timing and availability of data is equally important to improving your customer-level decision-making; to make those sought-after better, contextual decisions, you need to have the pertinent data available at the right place and time to meet that given consumer's moment of need. For example, in an operational environment, this may translate into accessing the right type, amount and quality of data in real time, so you are able to respond how and when your customer expects. The role of responsible usage of data in building, fuelling, and maintaining your AI-driven business The energy needs of athletes exceed those of the average person. Similarly, in the AI world, data (nutrient) needs for high-performance require consistent markers over a long period of time. Data scientists looking after credit and fraud risk would use the same variables or 'nutrients' that have been traditionally used for conventional scorecard developments to fuel machine learning methods to build predictive models. These are 'proteins' such as application data, any behavioural data your business has on existing customers, credit bureau data, segmentation data, available public information or transaction data. Some trended economic data can be used as input for developing credit risk methods and governance to fit leading financial reporting standards and frameworks (think of IFRS 9 or Basel, for example). Similarly, to assess affordability, you will need to feed your algorithms with disposable income over your customers' lifetime plus data about how they use it. Financial data about customers' savings, and investments allows for more accurate risk management while property related info derived from rental data is useful for extending personalised credit offers. Meanwhile, more and more businesses are using speech and text data obtained through voice recognition to improve the collection process. In fact, recent research we commissioned from Forrester Consulting shows that this 'race for the customer' comes down to who knows them best. The ability to make meaningful decisions that match your customer's context at a given point in time requires a solid understanding of their needs and goals. Having access to relevant data is essential to consistently deliver experiences that matter. Timing and availability of data is equally important to improving your customer-level decision-making; to make those sought-after better, contextual decisions, you need to have the pertinent data available at the right place and time to meet that given consumer's moment of need. For example, in an operational environment, this may translate into accessing the right type, amount and quality of data in real time, so you are able to respond how and when your customer expects. The role of responsible usage of data in building, fuelling, and maintaining your AI-driven business The energy needs of athletes exceed those of the average person. Similarly, in the AI world, data (nutrient) needs for high-performance require consistent markers over a long period of time. Data scientists looking after credit and fraud risk would use the same variables or 'nutrients' that have been traditionally used for conventional scorecard developments to fuel machine learning methods to build predictive models. These are 'proteins' such as application data, any behavioural data your business has on existing customers, credit bureau data, segmentation data, available public information or transaction data. Some trended economic data can be used as input for developing credit risk methods and governance to fit leading financial reporting standards and frameworks (think of IFRS 9 or Basel, for example). Similarly, to assess affordability, you will need to feed your algorithms with disposable income over your customers' lifetime plus data about how they use it. Financial data about customers' savings, and investments allows for more accurate risk management while property related info derived from rental data is useful for extending personalised credit offers. Meanwhile, more and more businesses are using speech and text data obtained through voice recognition to improve the collection process.    

To stay ahead of the competition and on the path of sustained growth, you need clear line of sight to both risks and opportunities through the customer lifecycle. Gaining better insights on customers is critical to achieving that, so you can make all the right decisions, big and small, about your customers and business clients. Based on the conversations we have with our clients, we have noticed that most executives are paying a lot of attention to measuring customer experience and reducing friction across digital touch-points through the lifecycle. For customer acquisition, for example, businesses like yours look at time spent on each micro-step (e.g. data field), dropout rates at each of those steps, and do A/B testing at a very granular level. The idea is to understand all points of friction including points of confusion, frustration, etc., so you can learn from those and improve the experience. But this is not an easy task. The various challenges involved are making sense of the vast quantities of data and the immaturity of that data as well as the construct of that data. Given the fast pace at which data analytics change and evolve, our recommendation is that you invest in tools that are data and/or analytics agnostic. Thinking ahead: leveraging data analytics and cloud-based decisioning platforms to design the right customer treatment There is a largely untapped opportunity to leverage data, analytics, optimisation and decision management solutions - such as cloud-based decisioning platforms - to design the right customer treatment and identify the next best action for that customer. Selecting the appropriate timing, medium, and channel for those actions lead to greater consistency and contribute to having more relevant communications with your customers. The more relevant you are, the more precise you are with the offers and the treatments leading to improved response rates, greater connectivity and interaction with the customer. This results in memorable experiences that enhance loyalty and drive profitability.

This blog is written by Lisa Fretwell, Managing Director of Data Services at Experian. It’s no secret that women are hugely under-represented in careers relating to science, technology, engineering and mathematics (STEM). In fact, research suggests that only 13% of the overall UK workforce are women in STEM and, as a consequence, we find ourselves with fewer female role models to inspire confidence and ambition in the next generation. Positive female role models are fundamental if we are to transform some of the preconceptions that girls have about a career in STEM. And part of encouraging new generations into our industry means recognising and celebrating the achievements of those women blazing a trail here and now. That’s why we are delighted to be sponsors of today’s Women in Data (UK) conference for the third successive year. This unique event helps inspire, educate and support women across the data industry. It’s a privilege to be part of the Women in Data community, to get to know more amazing women in our industry and to share their incredible stories. One of the highlights of the event is the annual ’20 Women in Data and Technology’ recognition, celebrating incredible role models who are motivating others to pursue their own career ambitions in the industry. We were particularly thrilled to learn that our very own Louise Maynard-Atem, has been included in this year’s highly prestigious list. Congratulations to Louise on a truly phenomenal and well-deserved achievement. Experian’s goal is to have a workforce that’s as rich in diversity as the people who use our services. That’s one of the many reasons we’re so excited by WiD’s mission. Together we hope to empower and encourage more women into the data industry, supporting the next generation of data scientists who can help shape the future.