Disruptive analytics : charting your strategy for next-generation business analytics

Author

• Dinsmore, Thomas W

Additional Author(s)

-

Publisher

Berkeley: Apress, 2016

Language

English

ISBN

9781484213124

Series

Subject(s)

• BUSINESS
• KNOWLEDGE MANAGEMENT
• MANAGEMENT SCIENCE
• BUSINESS ANALYSTS

Notes

. . Index: p.253-262

Abstract

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.

Physical Dimension

Number of Page(s)

xvii, 262 p.

Dimension

24 cm.

Other Desc.

-

Summary / Review / Table of Content

Fundamentals --
A short history of analytics --
Open source analytics --
The Hadoop ecosystem --
In-memory analytics --
Streaming analytics --
Analytics in the cloud --
Machine learning --
Self-service analytics --
Handbook for managers.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00661/17	658.4038 Din D	Library - 7th Floor	Available