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  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.

I’m the Product Manager of Brazil’s Limpa Nome Online Recovery Portal, which was developed to help people manage and clear their debts. In Brazil, if you have debts, you are said to have a “nome sujo.” Literally translated, this means a “dirty name” — and that means good financial standing and access to credit are nearly impossible. My colleague and I met a Brazilian named Fabio who had a “nome sujo.” We sat down with him one afternoon to learn more about his situation. He told us he had built up debt with a national bank over six months. The debt was so unmanageable, he said, he was almost to the point where he could no longer pay it back. Fabio also told us how he spent at least four hours commuting to and from work each day, which limited his time outside of work. The thought of spending the limited time he had at a bank or collection agency trying to convince them to negotiate with the lender on his behalf seemed impossible. Understandingly, Fabio was enduring many sleepless nights. He tried searching on Google for help and came across Limpa Nome from Serasa Experian. He enrolled on our website, where he could view the debt he owed to the lender as well as proposals to make a settlement of dispute with the bank. Because Fabio had made a settlement proposal through Experian’s Limpa Nome website, the bank made an exception for him, allowing him to pay R$70 instead of R$1,000 each month until his debt was paid off. Within 10 minutes, Fabio’s problems were solved and his name was once again a “limpa nome” — a clear name. Our tool helped remove his financial burden and enabled him to have good credit to now be able to buy a house or a car. Using Experian’s Limpa Nome Online Recovery Portal, my team and I are using data to help give people like Fabio the tools to re-establish a good financial standing so they can pursue their dreams. Read more #ExperianStories from our colleagues around the world.