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Featured Books on Careers
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Interview Questions in Business Analytics
Call Number: Springer ebook
Publication Date: 2016
Discover relevant questions--and detailed answers--to help you prepare for job interviews and break into the field of analytics.
Understanding the Chief Data Officer, 2nd ed
Call Number: O'Reilly ebook
Publication Date: 2017
This book contains a dozen interviews with current and former CDOs at organizations such as Samsung, Zynga, Citizen’s Bank, Allstate, Seattle Children’s Hospital, and New York State, and concentrates on guidelines and best practices for organizations looking to add their own CDO, which can provide insights for thinking about how to present yourself if looking for a CDO type of job.
The Data Industry
Call Number: Wiley ebook
Publication Date: 2016
Provides an introduction of the data industry to the field of economics so you can sound like a pro on job interviews. Originally written for data scientists interested in the economic aspects of this industry and economists who needed to understand data, this book describes the economics of big data, and enable economists to analyze the data industry. This book defines a data industry chain, enumerates data enterprises' business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects.
Gartner Content on Business Analytics & Big Data Applications
Gartner Research Service
This well-known collection of market analyst reports, international news and real-world analysis focuses on a broad coverage of computing and technology sectors. Students will like the market research and IT staff will like its tools and benchmarking contents. Gartner analysts cover a broad range of business functions that impact the technology sector. NOTE: use your Business Systems credentials to login. Gartner also recruits and hires; see the careers section
of their webpage.
Gartner has a lot of specialized content in its Research Library of interest to people in business analytics fields:
- Business Intelligence & Data Warehousing
- Big Data
includes sub-topics like advanced analytics, business activity monitoring, business pattern frameworks, content analysis, pattern seeking, predictive analytics, sentiment analysis, social analytics, speech analytics, supply chain analytics, text analysis, web analytics and more.
- Business Intelligence and Decision Support
- Data Science
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