Avoid Common Pitfalls When Introducing Data Science To The Enterprise

Published March 3rd 2016: A hands-on manager's guide to all aspects of integrating Big Data and Data Science into legacy operations.
 
NEWPORT, R.I. - March 4, 2016 - PRLog -- The need for precise, actionable, reliable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of “Data Science” lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information.

This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization. We call them Data Scientists, and their evolving role in the organization is one about which managers must have a clear understanding.

As shown in What Every Manager Should Know About Big Data and Data Science, integrating data scientists (and the general practice of Data Science) into the organization is often a delicate process involving the redefinition of traditional roles within the enterprise as well as dealing with issues of territoriality amongst peers.

To accomplish this task, managers need a firm knowledge of the what and whys of Data Science, the specific BI needs it is uniquely positioned to service, and the procsses by which it functions.

Such is the knowledge this important book provides.

ABOUT THE AUTHORS
Lars Nielsen's bestselling books include Unicorns Among Us: Understanding the HIgh Priests of Data Science. Noreen Burlingham co-authored the bestseller A Simple Introduction to Data Science. Robert Masters is a leading systems analyst, developer, and technical writer.

USA Kindle Edition: $3.99

UK Kindle Edition: £2.88 (VAT inclusive)

More Information: http://newstreetcommunications.com/businesstechnical/what...

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Tags:Big Data, Data Science, Project Management
Industry:Computers
Location:Newport - Rhode Island - United States
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