Innovation + Big Data Proves Winning Formula for Experian

Posted on Aug 25 2015 by

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Forbes Magazine recently named Experian among the top 100 innovative companies in the world for the second year in a row.

Forbes has a rigorous selection methodology that places an emphasis on what organizations’ investors see as the most innovative today, but also the companies that investors believe will continue to be the most innovative in the future; Forbes calls this methodology the Innovation Premium. Put simply, it’s the expectation that a company will launch new products and services and enter new markets to generate growth.

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CFPB Complaint Portal Needs Context to Understand the Data

Posted on Aug 12 2015 by

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.

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Q&A: Improving decision-making and increasing value using Big Data analytics

Posted on Aug 12 2015 by

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.

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Smart Cities of the Future

Posted on Aug 11 2015 by

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.

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Using Big Data to Manage Risk in Sports and Business

Posted on Aug 10 2015 by

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.

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With Big Data Comes Big Responsibility

Posted on Aug 10 2015 by

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.

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So Much Data, But Who Is Managing It?

Posted on Aug 04 2015 by

Data Management

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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Generation X Fails to School Millennials

Posted on Jul 30 2015 by

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If we looked at current generations in a family structure, Baby Boomers are mom and dad, the Greatest Generation are grandma and grandpa, Generation X are the older siblings and Millennials are those overindulged younger siblings that always got later curfews and more relaxed rules. For that reason, there is a natural, friendly, sibling-type rivalry between Generation X and Millennials. And this week, millennials came out the victors because Generation X failed to school its younger sibling when it came to average debt load.

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