Choosing the right vendor for managing Big Data requires each organization to consider its own needs, including preferences related to data storage, scripting language, and preferred usage tools. USE CODE PATIMES16 for 15% off Predictive Analytics World Conference pass. Hadoop, NoSQL, and all of the others living in the cloud storage/tools world are in an
The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means...
Contrary to common belief, the hardest part of data science isn’t building an accurate model or obtaining good, clean data. It is much harder to define feasible problems and come up with reasonable ways of measuring solutions....
This Newsweek article, originally published in Newsweek’s opinion section and excerpted here, resulted from the author’s research for a new extended sidebar on the topic that will appear in the forthcoming Revised and Updated, paperback edition of...
We have executed a multitude of data science projects in the manufacturing vertical. While most of them were done without the help of big data tools, we think most of them will require such capabilities as we expand the...
Most of us probably remember when a certain big box retailer, thanks to sophisticated data collection and analytics, beat a father to the discovery of his teen daughter’s pregnancy… And those of us who do are likely...
In the world of IT, we seem to fall victim to a new technology “siren’s song” approximately every five years. The most recent of these new irresistible forces is Big Data. While our industry has been talking...
From HR to marketing to customer retention, big data gives organizations valuable insights into everyday factors that drive business decisions. That’s one reason, according to IDG’s 2015 Big Data and Analytics Survey, the number of organizations that...
Could text analytics be the unsung hero of big data? Text analytics mines reams of often ephemeral, unstructured data — from a voice recording of a customer call to emails or a Tweet — for meaningful insights...
Building a quality database for talent analytics is like building a house. Having the tools, materials, and workers is absolutely essential – after all, without any of those, how will the house get built? – but even...
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