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Commentary

When the Right People Correlate the Right Information, Expect a Masterpiece

April 15, 2015 by Mike Urbonas

Arthur Aufderheide.

Organizations with genuine passion for its mission have a substantial innate advantage when developing and/or utilizing BI technology. They will uncover more/better/faster new data correlations revealing new business answers drawn from new big data, information management, data analytics and other technologies. This is because they will relentlessly ask more new, piercing questions about their business.[read more]

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HD Voice and the Future of Voice Communication

April 8, 2015 by Anand Srinivasan

According to a recent study published by MarketsAndMarkets, the high definition voice market is expected to be worth $2.29 billion by 2019. In comparison, this was just $815.5 million big in 2014. This is a pretty dramatic growth projection for a technology that not even new. HD Voice is basically the marketing buzzword for wideband audio which has been around for nearly three decades. So what exactly is HD voice and what is the reason behind this dramatic growth story?[read more]

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Problems with the Language of Probability

April 6, 2015 by Paul Barsch

Risky Business column.

Using probabilistic terminology to communicate the “likelihood” of an event occurring to those untrained in understanding such terms, can in some instances lead to the ruin of careers, companies and in worst cases—loss of life.[read more]

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Smart Data Collective Honored as a Top Data Science Resource

March 5, 2015 by SDC Staff

Smart Data Collective honored.

Smart Data Collective was selected as one of the Top 50 Data Science Resources by NGDATA. Smart Data Collective was ranked eighth in the category of best data science blogs.[read more]

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Hygienic Hadoop Data Lakes Not Just Happenstance

February 23, 2015 by Paul Barsch

Risky Business column.

If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]

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Is Your IT Architecture Ready for Big Data?

January 6, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[read more]

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Changing Your Mind About Big Data Isn’t Dumb

December 9, 2014 by Paul Barsch

Risky Business column.

While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]

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Storytelling with the Sounds of Big Data

November 10, 2014 by Paul Barsch

Risky Business column.

Trying to internally “sell” the merits of a big data program to your executive team? Numbers and facts probably won’t make the sales pitch complete. You will also need to appeal to the emotional side of the sale by incorporating the sounds of big data.[read more]

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CAPEX Deferred Eventually Makes the Company Sick

September 22, 2014 by Paul Barsch
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Risky Business column.

Instead of investments in IT, machinery, buildings and more, CEOs and CFOs are content to predominantly spend cash on stock buy-backs and/or dividends. Deferring CAPEX spend, or “sweating the assets” will work for a little while, but it’s not a strategy for long-term success.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

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Adapting to Winds of Change

August 6, 2014 by Paul Barsch

Risky Business column.

There’s much work to do before you can take advantage of cloud resources, and just-in-time planning doesn't cut it. With the flexibility, speed and power that cloud offers, there’s really no excuses to let opportunities to capture unplanned demand pass you by.[read more]

Do You Have Any Rights in the Age of Big Data Analytics?

July 23, 2014 by Lachlan James

Your rights and big data.

With Big Data-related excitement on the verge of finally reaching a crescendo, many market analysts are forecasting gargantuan outlays. But, as more organizations begin to explore the potential of Big Data Analytics in greater depth, many practical, moral and legal challenges will further emerge, requiring our attention.[read more]

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The Rule of Three Works for IT

July 14, 2014 by Paul Barsch

Risky Business column.

The rule of three is a teaching, writing or presenting device where a key concept is broken into three easy to remember pieces. Does the rule of three apply to the fields of technology and business? Going forward, let’s be sure to use more tricolons in our training materials, internal presentations and customer whitepapers.[read more]

Blimp Flies the Friendly NSA Skies and Your Right to be Forgotten

June 29, 2014 by Mikle Allen

Blimp flies the NSA skies.

The European Court of Justice ruled that under European law, search engines are “data controllers” so they must consider all requests to stop returning irrelevant or outdated information in search queries. According to the ruling, the Web pages that the query results in question point to can remain online and any link omissions on query returns will only occur when searches are made in Europe.[read more]

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Beware of Big Data Technology Zealotry

June 23, 2014 by Paul Barsch

Risky Business column.

Invariably, there are hundreds of additional arguments proffered by big data vendors and technology zealots inhabiting organizations just like yours. However, there are few crisp binary choices in technology decision making, especially in today’s heterogeneous big data environments. Beware big data zealots that counsel you otherwise.[read more]