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Data Preparation: Is the Dream of Reversing the 80/20 Rule Dead?
I recently had someone ask me, “For years we’ve talked about changing analytics from 80% data prep and 20% analytics to 20% data prep and 80% analytics, yet we still seem stuck with 80% data prep. Why is that?” It is a very good question about a very real issue
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Name Dropping by Analytics Thought Leaders at Strata + Hadoop World
2016 marks the 10th anniversary of the launch of Hadoop. I recently attended Strata + Hadoop World (“Strata”) in New York City from September 26-29, 2016 and the size and scope of this show certainly reflect the growth and mainstream adoption of Hadoop and its ever-expanding ecosystem.Strata has historically been
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Eight Data And Analytics Capabilities You'll Need For The IoT
There is widespread agreement that the Internet of Things will be a transformative factor in the business use of information. The prospect of billions of connected devices promises to transform home activities, transportation, industrial operations, and many other aspects of our lives.The bad news about the IoT is that we
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Ethical Implications of Industrialized Analytics
As analytics are embedded more and more deeply into processes and systems that we interact with, they now directly impact us far more than in the past. No longer constrained to providing marketing offers or assessing the risk of a credit application, analytics are beginning to make truly life and
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Finance Must Ramp Up Role As Analytics Leader
The fictional crime-solver Sherlock Holmes once referred in a conversation to “the curious incident of the dog in the night-time.” A Scotland Yard detective replied, “The dog did nothing in the night-time.” Holmes retorted, “That was the curious incident.”In the field of analytics, the equivalent of the dog that didn’t
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Just How Smart are Smart Machines?
The number of sophisticated cognitive technologies that might be capable of cutting into the need for human labor is expanding rapidly. But linking these offerings to an organization’s business needs requires a deep understanding of their capabilities.If popular culture is an accurate gauge of what’s on the public’s mind, it
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Effective Operational Analytics is About More than Analytics
Many times when I speak with analytics managers or business people interested in analytics, they tell me that performing some analytics on data is not the primary problem they have. “We have to get the analytics integrated with the process and the systems that support it,” they say. This issue,
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When Big Data Can't Predict
Most people think that in the age of big data, we always have more than enough information to build robust analytics. Unfortunately, this isn’t always the case. In fact, there are situations where even massive amounts of data still don’t enable even basic predictions to be made with confidence. In
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Improve New Product Development with Predictive Analytics
Recently on this site, one of us wrote about the new product development analytics used by Netflix. In a nutshell, the company classified the key attributes of past and current products or services and then they modeled the relationship between those attributes and the commercial success of the offerings. This
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IT Organizations: The Shoemaker's Analytical Children
For the great majority of years in the past decade, Chief Information Officers named “business intelligence and analytics” as their top focus in Gartner Inc. annual surveys of technology priorities. That set of technologies moved to number one in the survey in 2006 and stayed there until 2009. It fell