Tag: Big Data Analytics

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The Problem with the Term “Big Data”

The term “big data” has become very popular in some segments of industry to describe the massive deluge of information that is being produced everyday in many formats. Forrester defines big data as techniques and technologies that make it economical to deal with data at an extreme scale. Big data is about three things: 1. [...]

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The New Data “Entrepreneurs”

With the growing interest in the potential business value to be gleaned from “Big Data” or Extreme Information analytics, a new role has been gaining interest: the Data Scientist. The data scientist is a hybrid role encompassing computer science, advanced statistics/mathematics, forensics analytics and other advanced skills, as well as business savvy. The data scientist [...]

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The End is not the Means: People, Process and Technology

The pathway from failed BI / EDW initiatives often is entangled with poor understanding and consideration of the importance of people and process for BI and Analytics activities. A focus on people and process directs the priorities of such initiatives to the organizational and business goals that should be at the heart of “why business [...]

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Intelligence On-Demand: Impact on Business and IT

Big changes in how enterprises work with Business Intelligence (BI) and Analytics are gaining momentum every year: solutions that are self-service for business users, available on-demand, and are oriented to “easier” and faster paths to intelligence results. Software solutions that enable business users to perform many BI and analytics tasks without direct IT intervention have [...]

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BIG Thoughts on BIG Data

We had the pleasure of meeting with David Linthicum last month to get his thoughts on Big Data. Many organizations are facing the reality that they have more data coming in than they can process data. Apache Hadoop offers a big opportunity for businesses, but, according to David Linthicum, enterprises are in an experimental phase [...]

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