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A Brazen Expose on Big Data in the Government Sector

April 19, 2014 by Lillian Pierson

Big data in the government sector.

Good, strong, data-savvy leadership is the answer to the government data woes. Government leaders are the only ones that have the power to mandate and enforce effective adoption of data driven decision-making at the managerial level. Leaders will have to mandate IT to let internal business analysts, staff, and managers have and use their data freely.[read more]

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The Billboard Problem: Why Intelligent Ads Only Live Online, for Now

April 18, 2014 by Samantha Meckler

Billboard.

For centuries, billboard ads have been an ambiguous but undoubtedly treasured way to convert eyeballs into customers. Data-driven business decisions are becoming the way of the world -- and no longer just in theory, so 'guessing as proof' metrics will continue to be exactly what they always have been -- ambiguous and nostalgic.[read more]

Forget Big Data, We Need Smart Data [VIDEO]

April 14, 2014 by Lachlan James

BI.TV

The interactive portion of this episode directs your attention towards two thought-provoking discussions taking place on LinkedIn. The first conversation was instigated by the question “Why do BI implementations fail?” and can be found on the Business Intelligence Professionals Group.[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]

Defining Business Intelligence 3.0

April 11, 2014 by Lachlan James

Business intelligence 3.0.

So what exactly is Business Intelligence 3.0? Is it a mass of meaningless marketing messages, a collection of multiple BI advancements, or does it represent a single technological shift that many have misconstrued? Well, according to Bill Cabiro, it’s none of the above. Cabiro contends that BI 3.0 represents two things: A changing philosophy regarding BI user types and an amalgamation, or confusion, of terms.[read more]

Technology Spending Puts Focus on BI

April 10, 2014 by Roman Vladimirov

Focus on BI.

It's no secret that technology is becoming a bigger part of business across nearly every industry, and companies are wising up to this growing trend. A recent report from the International Data Corporation examined technology spending across 12 different segments in the United States between 2012 and 2017.[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]

Avoid These Business Intelligence Mistakes

March 26, 2014 by Roman Vladimirov

BI mistakes.

Business Intelligence can be a powerful tool to help your business thrive, but it can only be beneficial when used correctly. Since this is a growing and changing sector of business, it can be easy to make a few mistakes in establishing and using Business Intelligence software.[read more]

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Making Machine Learning Work for Business

March 24, 2014 by Rick Delgado

Machine learning works for business.

Machine learning is a type of artificial intelligence that takes vast amounts of data and makes sense of it. Many businesses have started turning to machine learning as a way to sort through their collected data, streamlining their work and improving the customer experience.[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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Collaboration in the Cloud: The Continuity Advantage

March 13, 2014 by Jessica Oaks

Collaboration in the cloud.

Real-time communication doesn’t always seem quite fast enough, not in an economy where the most successful businesses have to not only meet current demand but anticipate future customer needs. Accessibility to the right collaboration tools and applications, no matter where the users are physically located is a critical part of the equation to harness company intelligence to predict future demand.[read more]

Architecting Big Data Solutions

March 12, 2014 by John Sanders
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Big data solutions.

In this article I would like to outline, at a high level, the overall thought process for "architecting" big data solutions. The process of developing an architecture is a very personal thing. I don't propose to say that this is the only way - this is simply a framework from which you could launch your own effort.[read more]