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People are making a big deal about big data—and it is a big deal. It has the power to guide us in addressing some of our nation’s most pressing needs, from protecting against fraud at the checkout counter to helping families secure affordable loans that help them accomplish their dreams. And like any powerful tool, it must be deployed wisely; in the wrong hands, as Hollywood saw recently, data can be hacked. But that doesn’t mean abandoning big data is the solution, especially with so many weighty challenges burdening our nation. There’s a smart way to use data right, and we can “unleash untold opportunities” if we use technology to do it well, as President Obama alluded to in this year’s State of the Union address. With big data, technology is now able to process unfathomable, and until recently largely unmanageable, volumes of information. And from that processing, we can identify actionable insights that can illuminate new solutions to old problems. Read the full article on TheHill.com

On Monday, Experian’s former North American CEO Craig Boundy welcomed conference attendees, asking everyone to Think BIG during the week. Later in the day, we heard an inspirational forward thinking keynote address by former US secretary of state Dr. Madeleine Albright on the geopolitical environment touching on information security. On Tuesday, it was all about BIG insights on the US economy as Adam Fingersh introduced Dr. James Paulsen from Wells Capital Management, who delivered an in-depth economic and financial market update. Paulsen, deemed the recovery the longest in U. S. history, saying “The great recession is often compared to the great depression, but this is really a great exaggeration.” After Dr. Paulsen’s remarks, Experian began its second day of breakout sessions with insights from our team of experts in big data, decision analytics, consumer credit, compliance and fraud before heading off for a day of networking activities. Later in the evening we all celebrated over dinner together while being entertained by the legendary Kool and the Gang. On The final day of the conference, Lloyd Parker, Group President of Credit Services closed Vision by introducing NBA Legend and Hall of Famer, Earvin “Magic” Johnson, who delivered an inspiring talk. Magic got up close and personal with the audience, sharing his insights on being a champion athlete, overcoming obstacles, and the many life lessons on becoming a successful entrepreneur, job creator and community advocate. We are all looking forward to seeing you in Scottsdale, Arizona next year for Vision 2016. Twitter Highlights "Big data is a force for good and makes a difference in the economy, consumers and society," Craig Boundy #vision2015 — Vision Conference (@ExperianVision) May 4, 2015 One day we hope to have a client user event like @ExperianVision as its the best for content, networking and fun! #V…https://t.co/LGiyxKAh5i — masterQueue (@intellaegis) May 8, 2015 I shared my business expertise and how I transitioned from basketball court to the boardroom! @Experian_B2B #vision2015 — Earvin Magic Johnson (@MagicJohnson) May 6, 2015 "Whether you are a foreign minister or a CEO you have to be able to manage risk," Madeleine K. Albright #vision2015 — Vision Conference (@ExperianVision) May 4, 2015 For more Twitter highlights, click here.

At Experian we believe that data is good. Good for our economy, good for consumers and good for society.  Analytics and technology designed to help marketers put their data to use and become truly customer-centric is just one example of using data as a force for good.  The following column was written by Emad Georgy, senior vice president of development and global head of development at Experian Marketing Services, as part of a “Data-Driven Thinking” series for AdExchanger. Emad explores the topic of customer-centric marketing, and raises the question: “What does a marketing ecosystem look like when we focus on the customer and work backward from there? It’s not about the cloud; it’s about the customer.”  In the age of the half-read article, far too few have taken the time to understand deeply what big data can do for their business. The focus has been more on the medium, with more talk about channels, clouds and the data than about the customers themselves. This begs the question: What does a marketing ecosystem look like when we focus on the customer and work backward from there? It’s not about the cloud; it’s about the customer. Looking for big answers in the channel and the technology is important, but focusing on the “how” of big data can obscure the reasons for why we use the data. It’s as if some are staring at a large explosion of data and wondering, “What can I do with this data? How can it benefit my business?” This is backward at best. With more data in our marketing ecosystem, the complexities of mining and predicting have increased exponentially. More marketing communities are investing in data scientists as a result. But there’s something out there bigger than big data: the big questions we want answered and the answers themselves. Now we need to identify the big questions and answers that can come out of this big data boom. One of the keys to answering the right big questions: predictive analytics. Predictive models and tools are easier and more accessible than ever, with the ability to put big data insights into an automated, future-finding realm that is becoming more open by the day. This accessibility enables professionals in every industry to answer in mere minutes questions that would have once required many years and millions of dollars. The Right Questions Before we identify what the right questions are, it’s important to understand what the right questions are not. Marketers often view predictive analytics as the solution to their budget optimization decisions. Sure, CMOs are under increased pressure to predict future spending and adjust channel budgeting accordingly. Real-time predictive analytics allows them to do this without waiting for end-of-the-month reporting. This is an important decision, and analytics can help. But marketers need to go beyond the budgeting mindset to consider the customer’s role in analytics. Customers offer up so many other data points as they engage with a brand, and marketers are responsible for using that information to improve the customer’s day-to-day experience. So what are the right questions? Here are a few. Who is my best customer segment? Keep in mind that this is a transient answer and can change in real time. Who is showing signs and/or probabilities that they are going to become my next best customer segment? Which cross-channel consumer experiences are resonating, and when and where? Which customers are showing behaviors that may predict a lack of engagement or declining engagement? By asking the right questions, marketers can move beyond the marketing mix budget question. Predictive analytics can offer insight into what types of consumer segments are resonating in which channels, at which times of day, for which products and at which point in a path to purchase. It can give insight into things that are about to happen – when a customer is about to fit your “best customer profile,” or perhaps the warning signs to predict when a customer is about to terminate the relationship. Real-time capabilities to understand and optimize buyer personas, to deliver contextually relevant messages to individuals, not demographics, are just some of the ways we can leverage these capabilities. Building intelligent, mutually beneficial interactions for individual customers requires knowing these signals. Avoid The Snapshot Predictive analytics is so important for optimizing the customer experience because a customer’s experience – whether it’s preferences, behavior or desired conversations – can change every second. Models that are used to inform the marketing experience can’t be built from static variables, but rather must learn and adjust in real time. When the insights are made predictive and are constantly attuned accordingly, a critical shift is made: Customers, not marketing technologies, are driving the intelligence. And that’s the crux of the crossroads we face. We’ve focused for so long on the how of analytics that we’ve forgotten the human side. The algorithms and technology we’ve built are impressive and incredibly useful, but predictive analytics can’t be entirely machine-run. There’s a human element that must coexist and we must recognize that behind the data are real, irrational humans with constantly changing and sometimes unpredictable stories. We mustn’t let our obsession with the “how” of data get in the way of the “why” we care. That is what customers want: seamless, integrated experiences that are contextually relevant to their wants and needs. Follow Experian Marketing Services (@ExperianMkt) and AdExchanger (@adexchanger) on Twitter.