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In this article…

On July 16, the CFPB published its “first ever” monthly report providing a snapshot of complaints filed by consumers through the agency’s complaint portal. For full disclosure, Experian is one of the top three companies that received the most complaints from February through April 2015. But that is absolutely deceiving.

Financier Worldwide moderates a discussion on improving decision-making and increasing value using Big Data analytics between Shanji Xiong at Experian DataLabs, Ken Elliott at HP and Shaheen Dil at Protiviti. FW: To what extent are you seeing an increased demand for Big Data analytics in today’s business environment? What overarching advantages does it offer to companies? Dil: Many organisations have made fundamental investments in Big Data infrastructures and capabilities and are now actively exploring the best ways to achieve return on these investments.

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.

Our world today runs on data. It’s changing the way we browse the Internet, run our businesses, treat medical patients and invest in technology. It’s the key to solving society’s biggest problems: famine, disease, poverty and ineffective education. And it is powering the global economy.
But the data-driven economy is at a crossroads. With the eruption of information, we also open ourselves up to new risks and privacy concerns. As companies adopt more interconnected products and systems, the “Internet of Things” could usher in the next wave of challenges that range from data breaches to other potential privacy concerns if information is used improperly. As a society, we must decide whether to champion the explosion of connected information or allow its detractors to significantly constrain the innovation and growth ahead.

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.

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