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Big Data

How Many Quantitative Teams Are Actually Hiring?

May 29, 2015 by Linda Burtch

We all know that the demand for quantitative professionals has been increasing as of late, but we wanted to know: how many data science and analytics teams are actually hiring this year? In an attempt to quantify the demand, we sent out a flash survey to hiring managers, asking if their analytics or data science team would be hiring this year (whether to expand their team or to counteract attrition).[read more]

Data = Opportunity: But Are You Monetizing Information?

May 28, 2015 by RK Paleru
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In 2001, Gartner analyst Doug Laney, coined the term “big-data”, to articulate the impending explosion in Volume, Variety, and Velocity (“the 3 Vs”) of data in society. Much has been talked since about big-data. Today the term big-data is primarily used to describe “how” technology can handle these large and disparate sets of data, not “what” can be done with big-data.[read more]

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Will You Always Save Money with Hadoop?

May 27, 2015 by Tamara Dull

The Big Data MOPS Series.

If you answered “yes” to the question posed in the title, you’re right. Because if you’re talking about the open source Apache Hadoop project (and any related open source project) , you can download the software for free, take advantage of the free licensing, and run it on low-cost commodity hardware.[read more]

More Than Just a Title: How to Identify a Data Scientist

May 27, 2015 by Linda Burtch

Data scientists apply sophisticated quantitative and computer science skills to both structure and analyze massive unstructured data sets or continuously streaming data, as well as derive insights from the data and prescribe action. The depth of their coding skills distinguishes them from other predictive analytics professionals, and allows them to exploit data regardless of its source, size, or format.[read more]

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A Big Data Cheat Sheet: What Executives Want to Know

May 21, 2015 by Tamara Dull
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The Big Data MOPS Series. 

What can Hadoop do that my data warehouse can’t? The short answer is: (1) Store any and all kinds of data more cheaply and (2) process all this data more quickly (and cheaply). The longer answer is: They say that 20% of the data we deal with today is structured data. I also call this traditional, relational data. The other 80% is semi-structured or unstructured data, and this is what I call “big” data.[read more]

13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences

May 21, 2015 by Trips Reddy

Shopping experience. 

According to a report by McKinsey & Company, despite the e-commerce boom, brick-and-mortar stores will still account for approximately 85% of U.S. retail sales in 2025. While slow to catch up with the digital revolution, retail brands are starting to rethink business models and leverage technology to reinvent the in-store customer experience. Interactive digital displays, touchscreens, digital storefronts, magic mirrors, virtual dressing rooms and in-store kiosks (to order out-of-stock items) are transforming how consumers interact with products in physical stores.[read more]

5 Ways the Internet of Things Effects Modern Business

May 21, 2015 by Keith Tully

Anyone keeping up with the growing trend towards smart appliances, whole home security systems and updated car entertainment platforms has noticed that we are in an age where the internet is creeping into everything we use. In fact, some would argue, we aren’t far from an “internet of humans” with wearable technology and other advances in smartphone technology becoming the norm, rather than the exception.[read more]

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Why the Chief Data Officer is the Hottest Job of the 21st Century

May 20, 2015 by Jeff Brown
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Cheif data officer.

In 2012, Harvard Business Review boldly named the Data Scientist “The Sexiest Job of the 21st Century.” In 2013, reporters at CNBC gave the same nod to data analysts, saying it was one of the most sought-after positions. Even U.S. Secretary of Commerce Penny Pritzker came out praising the Chief Data Officer (CDO).[read more]

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Big Data Explained in Less Than 2 Minutes ... to Absolutely Anyone

May 19, 2015 by Bernard Marr

The Big Data Guru column.

There are some things that are so big that they have implications for everyone, whether we want them to or not. Big Data is one of those concepts, and is completely transforming the way we do business and is impacting most other parts of our lives. It’s such an important idea that everyone from your grandma to your CEO needs to have a basic understanding of what it is and why it’s important.[read more]

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How to Pivot Your Data

May 19, 2015 by Sai Gundavelli

More than a decade ago, the enterprise was a very different place. Companies had challenges dealing with data growth - application performance issues, growing storage costs, and dealing with application upgrades. Data became more manageable over time, with the introduction of solutions like data archiving. However, the needs of the enterprise are no longer met by standard data archiving.[read more]

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5 Smart Data Tips for New CIOs to Drive Business

May 15, 2015 by Bob Dvorak

Whether its day one or day 501, it’s practically vital for CIOs to make a splash and prove their worth. While business executives tend to dismiss the CIO as a strategic partner, the emergence of new digital tools, the need for reliable data and a growing demand for analytics have provided CIOs ammo to prove otherwise.[read more]

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What’s Up with Big Data? Let’s Look at the Trends

May 13, 2015 by Tamara Dull
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The Big Data MOPS Series.

While there’s no question that the buzz of “big data” is still going strong, how well is big data actually catching on? To answer this question, we’ll review some of the recent research to see what’s trending in the world of big data. Despite the challenges organizations are facing in this growing big data market, they’re (hopefully) in it for the right reasons—i.e., to discover new insights that will keep them in the game for many years to come.[read more]

3 Ways Big Data Impacts Small Business

May 11, 2015 by Keith Tully

Big data and small business.

Believe it or not, if your company has been operating for a year or more, you likely have a ton of “Big Data” sitting in your company records. If you’ve been keeping track of your sales in a ledger of some sort (excel, QuickBooks, etc.), then you have an excellent set of sales statistics to cross-reference with other information in your tool chest. Have you been keeping track of the promotions and sales your company runs?[read more]

How Nonprofits Like the YMCA Use Data to Maximize Community Impact & ROI

May 9, 2015 by Trips Reddy

Maximize impact.

The biggest truth about data is that it only has real value if it changes the way organizations act and think. In today’s data-driven world, having the right data can help nonprofit organizations become more transparent and accountable, helping them demonstrate to donors and members that their programs and initiatives are achieving objectives. Here’s how nonprofits like the YMCA are already using data to look for trends and insights, and even identify and find solutions to problems that don't exist yet, but might be just around the corner.[read more]

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Expert Speak: 6 Highlights and Lessons from the 2015 CDO Summit

May 8, 2015 by Trips Reddy

The 2015 CDO Summit.

The CDO Summit 2015 (at the Thomson Reuters office in New York City) hosted Chief Digital Officers, Chief Data Officers and other C-suite digital leaders from a range of industries including retail, finance, healthcare and technology. Organized by the CDO Club, a packed day of sessions, panels and knowledge-sharing highlighted original research, the CDO jobs landscape and the challenges faced by CDOs as they focus on digital transformation at their companies.[read more]