Margin test

Alternative data opens up doors to financial access for consumers – and Experian has been at the forefront of collecting, using and advocating for the use of alternative data for many years. This topic was explored and analyzed by the Consumer Financial Protection Bureau (CFPB) in a hearing today in Charleston, West Virginia.

Working in partnership with British charity, the National Literacy Trust, Experian has helped to analyze literacy levels across England. The study reveals that 86% of English parliamentary constituencies contain at least one area with serious literacy issues. By using our socio-demographic classification system, Mosaic, and harnessing The National Literacy Trust’s expertise, we have been able to create a literacy vulnerability score to measure the reading abilities of each region. The data illustrates the need to move away from nation-wide strategies to tackle literacy problems and move to more targeted local solutions. Although there are clear hot spots, the report found that literacy vulnerability is not restricted to regions with low income or social deprivation. The National Literacy Trust has shared the report with British Members of Parliament with an aim to help them better understand and respond to the specific literacy challenges in their constituency. Key highlights from the report: The constituency with the greatest literacy problems is Middlesbrough, closely followed by Barking in London Literacy issues are intensely localised Inner cities and their surrounding areas dominate the list of locations with a need for the greatest literacy support Continue to read more details from the report.  

During the National Football League’s biggest weekend, it’s often the commercials that take center stage. It’s every advertiser’s dream. The world as your audience. But how do advertisers capitalize on the opportunity and connect with viewers?

  I’m the Head of Utilities in Experian’s Energy and Water Sector. I handle a very specialized form of fraud called “energy theft,” where an individual or business steals electricity by tapping a line or bypassing the energy meter. Back in 2010, the process for handling this type of fraud was broken. Few companies bothered investigating instances of theft; they just accepted the pervasive issue as a cost of sale. This fraudulent activity was costing energy consumers approximately £30 per year, while putting countless homes and offices at risk, since faulty wiring for gas and electricity often leads to house fires or even explosions. Energy regulators decided the time had come for energy providers to crack down on the practice. My team and I at Experian were invited to a consultation to discuss how to use data and innovative techniques to end energy theft. The model we suggested was adopted as the preferred approach, and in the last year the project has been implemented across the entire industry in the UK. Our model combines data from the big energy companies with Experian’s own database to identify which residential or business properties may be stealing energy from the network. We can determine this by comparing energy consumption trends with information on how many people actually occupy the property. With both data sets, we can determine the amount of energy we believe the property should be consuming. If the energy consumption is lower than it should be on a particular piece of property, we look at fraud and credit data sets to see if the case qualifies as a genuine instance of low consumption (such as an older woman living alone), or if someone is perpetrating theft. We send that information back to the supplier so they can prioritize it for investigation. Through this program, I’ve helped protect countless homes and saved consumers from having to pay for energy they’re not using. I love that what I do not only gives me the opportunity to be creative in how I use data, but also helps protect businesses and everyday people. Read more #ExperianStories from our colleagues around the world.    

Today we are living in a world of data. It is everywhere, affecting many aspects of not only how our businesses are run, but our individual lives. It is growing in value and becoming more significant with each year. When used correctly, it has the potential to make positive changes. The challenge is that while data is everywhere, we don’t always trust it. While many businesses today say that data is driving new opportunities around increasing revenue and better serving their clients, the level of accuracy within their data is lacking. According to new Experian Data Quality research, less than half of organizations globally trust their data to make important business decisions. That level of doubt is causing 52% of organizations to rely on educated guesses or gut feelings to make decisions based on their data. That lack of clarity is causing businesses to not only operate with less efficiency, but 73% of c-level executives indicate that inaccurate data is undermining their ability to provide an excellent customer experience. While many are making strides to try to improve the quality of data and the trust level, they are often hindered by departmental silos and a lack of consistency across data sources. Much of that comes down to basic communication and an ability to talk about data. Departments lack understanding of how information is used across an organization or what the true impact is of poor data. In my discussions across the industry, it is clear that data lacks a consistent, meaningful language. We tend to focus on the level of pure accuracy levels, rather than the effect to the business or the customer. Data strategies need to more closely relate to defined business goals, outcomes and use cases, rather than just a data policy that sits within a vacuum. In the year ahead, we expect that many businesses will make strides within their data management programs and improve the quality of data. However, for those programs to be successful, they need to tie to broader business objectives. In those instances, developing more trusted data will certainly pay off. To learn more, check out the new global data management benchmark report.