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Federal and local governments around the world are expected to spend $475.5 billion on technology products and services by 2019. From New York to Chicago to Rio de Janeiro, metropolitan centers around the world are looking for new ways to be “smart” – to become more sustainable, improve the efficiency of public services and citizens’ quality of life. Forward-thinking civic and business leaders are experimenting with massive amounts of data – and the tools and technologies to compile and examine it – in order to improve how efficiently and effectively cities are managed.

In 2014, sports analytics was a $125 million market. By 2021, its value is expected to balloon to $4.7 billion. But this market wasn’t always so lucrative or widely accepted. Back in 2002, the Oakland Athletics General Manager Billy Beane earned a trip to the Major League Baseball playoffs despite having a payroll of just over $40 million -- $80 million less than major market teams like the New York Yankees. The key to the A’s success? Not just their scouts’ intuition, but sabermetric principles and rigorous – though at the time, overlooked – statistical analysis.

Today’s data-driven world creates exciting new opportunities, but also new challenges. Many of us see the promise of being able to make more intelligent decisions by fully understanding our customers and the needs of the marketplace. There are data scientists that can do incredible analysis to give us new insights into areas we didn’t think were possible.

Experian Marketing Services unveiled a new, more predictive and addressable Experian Marketing Suite for nearly 1,000 marketers at its 2015 Client Summit in Las Vegas, today. The advancements released today include new addressable advertising and predictive intelligence tools both powered by Experian’s consumer database, the largest consumer database worldwide, with modeled insights covering 700 million individuals in 270 households. Both enhancements will help brands identify and interact with their customers no matter where they are in the world or in the cloud.

Addressing the issue of identity management has become a top priority for marketers. The fact is that their customers are represented by dozens of identities – both known and unknown – in today’s digital world. According to new research published in our recently published 2015 Digital Marketer Report, linking identity data is now the #1 challenge for marketers around the world, up from fourth place just a year ago. Further, 89% of marketers report having challenges creating a single customer view.

Today, Experian’s global Fraud and Identity business released its analysis of client transaction data from the 2014 holiday season, showing an 80 percent reduction in the number of manual reviews among online merchants using the company’s fraud and identity products and services compared with the industry average. These results and other observations indicate that a customer-centric approach to fraud prevention would be more effective for many online merchants, leading the company to recommend five best practices for online merchants preparing for the 2015 holiday season.

Some of my fondest memories on road trips as a child were the games we were able to play. I’m sure many kids played “I Spy” and did “Sing-a-longs,” but my go-to game was “Slug Bug” (It’s a game where you get points for spotting a Volkswagen Beetle). While it’s been quite some time since I’ve played the game, I still find myself very aware of the different types of vehicles around me.

Nowadays, whenever you hear news about the automotive industry, a negative tone tends to pop up. Whether it’s the increase in lending to subprime consumers, or the lengthening in loan terms, the stories lead one to believe that the industry is headed toward another “bubble.” However, that’s not necessarily the case. When we look at the data, the automotive finance market actually demonstrates a strong industry as a whole.

The term big data tends to be overused in business today. While some refer to it as a technology and others a level of insight, it has come to embody many different data actions, from business intelligence, to analytics and data modelling. We have become so obsessed with big data that we think we have to have this level of insight as a requirement to running a successful business.