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Data Mining

Is Your Company Ready to Deploy Business Intelligence Intelligently?

April 22, 2014 by Ray Major

Ready to deploy BI?

Although the majority of data-driven enterprises may have or use BI software or systems, a recent survey we took of IT executives revealed that there is a vast difference between having BI and using BI to the company’s full advantage. There is an even larger chasm between the cost to implement BI and the value realized from those efforts.[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]

How Text Mining Can Help Your Business Dig For Gold

April 5, 2014 by Seth Redmore

Text mining.

Your customers want to communicate with you. Humans communicate in a wide variety of ways – body language, eye movement, intonation of speech, hand gestures, use of color and clothing. There is no system on earth that can yet capture all of the wide bandwidth of communication that we all use, as we go through our days.[read more]

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Is Big Data Under Threat by New Internet Magna Carta?

April 1, 2014 by Bernard Marr

The Big Data Guru column.

Big data can deliver mouthwatering value to companies and society, but the NSA revelations about spying on people as well as allegations that large corporations are snooping on customers has tainted the reputation of big data analytics. A growing number of people are now calling for a new Magna Carta for big data, but would that spell the end of the big data movement or a new beginning?[read more]

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How Your Hadoop Distribution Could Lose Your Data Forever

March 27, 2014 by Michele Nemschoff

Hadoop distribution could lose your data forever.

Relational database users have long depended on foundational protection techniques, such as data replication and snapshots. Today, both are also implemented in standard Hadoop architectures. Their method of application and effectiveness, however, is not the same across distributions.[read more]

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What the "Small Data" Revolution Means for Marketers

March 26, 2014 by Noah Jessop

Small data.

To hear the pundits tell it, Big Data is going to revolutionize everything we do as marketers. But Big Data can be expensive, cumbersome, and intimidating. It also isn’t always necessary. Small Data, on the other hand, is manageable. Small Data is simple. Small Data is, well, “small," and it can help marketers make huge strides towards sending more targeted, more personal communications to their prospects and customers.[read more]

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Big Data Is Nothing Without Its Little Brother

March 18, 2014 by Bernard Marr
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The Big Data Guru column.

This posts outlines why big data is nothing without little data, or the KPIs that companies use to measure success. It looks at 3 big data use cases and outlines that value of any big data initiative can only be assessed in the context of well defined performance metrics.[read more]

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6 Simple Steps to a Big Data Strategy

March 5, 2014 by Bernard Marr

The Big Data Guru column.

We now live in a world in which the volumes of data are exploding by the second. While some companies are leveraging these data assets very well to generate mouth-watering competitive advantages, most are completely overwhelmed by the amounts of data they are generating and are simply scratching the surface of the other, external data they could use.[read more]

Climate Change Under the Text Analytics Microscope

February 28, 2014 by Scott Van Boeyen

What does Leo have to do with climate change? You'll find out.

I looked at #fail first, to see what came up, and found a bunch of tweets insulting people who thought the cold burst this winter disproved climate change. My favorite example came from an American user who tweeted "saying a cold snap disproves climate change is like saying the ability to jump disproves gravity."[read more]

7 Important Types of Big Data

February 26, 2014 by Michele Nemschoff
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Types of big data.

Big data is a term thrown around in a lot of articles, and for those who understand what big data means that is fine, but for those struggling to understand exactly what big data is, it can get frustrating. There are several definitions of big data as it is frequently used as an all-encompassing term for everything from actual data sets to big data technology and big data analytics.[read more]

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Big Data: CEO, CMO, Now for the CFO

February 20, 2014 by Gil Allouche

Big data and the CFO.

While CEOs and CMOs are grappling with the possibilities of big data, a third member of the C- suite has been frequently overlooked in the big data discussion. Big data provides an opportunity for the CFO to use his or expertise, data, to play a greater strategic role within companies to boost the bottom line.[read more]

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Facebook's Big Data: Equal Parts Exciting and Terrifying?

February 18, 2014 by Bernard Marr

Big Data Guru column.

This post looks at the gigantic big data repositories Facebook is creating and discusses the exciting as well as terrifying opportunities to exploit that big data. The question is, does big data analytics put too much power in the hands of a commercial company like Facebook?[read more]

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NoSQL Vs. RDBMS for Interactive Analytics: Leveraging the Right and Left Brain of Data

February 6, 2014 by Soren Riise
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NoSQL Vs. RDBMS.

Comparing NoSQL and relational databases is lot like comparing the left and right sides of the brain. Too much focus on structural differences and attributes can overshadow the fact that we’re stuck with both sides of the brain and we need both to make the best use of sensory data.[read more]

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Amazon: Using Big Data Analytics to Read Your Mind

February 6, 2014 by Bernard Marr
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The Big Data Guru column.

This post looks at Amazon's ability to use big data to predict what we will buy in the future. It discusses Amazon's latest patent filing around anticipatory shipping and the implications of increasingly accurate big data analytics.[read more]

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How MapR’s M7 Platform Improves NoSQL and Hadoop

January 31, 2014 by Michele Nemschoff

MapR’s M7 platform.

M7 removes the trade-offs organizations typically face when looking to deploy a NoSQL solution. Here’s a look at how the M7 platform is making NoSQL and Hadoop easier, faster and more dependable. Since enterprises already have several disparate data systems, having the ability to unify NoSQL and Hadoop under a single scalable cluster eliminates data silos and provides administrative simplicity.[read more]