What Every Manager Should Know About Big Data and Data Science
Nonfiction, Computers, Database Management, Data Processing, Business & Finance, Management & Leadership, Management
| Author: | Lars Nielsen, Noreen Burlingame, Robert Masters | ISBN: | 9781536534122 |
| Publisher: | New Street Communications, LLC | Publication: | September 30, 2016 |
| Imprint: | Language: | English |
| Author: | Lars Nielsen, Noreen Burlingame, Robert Masters |
| ISBN: | 9781536534122 |
| Publisher: | New Street Communications, LLC |
| Publication: | September 30, 2016 |
| Imprint: | |
| Language: | English |
Includes vital coverage of how to avoid common pitfalls when first introducing Data Science to the enterprise.
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.
Includes vital coverage of how to avoid common pitfalls when first introducing Data Science to the enterprise.
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.
