Fr. 136.00

Data Strategy - How to Profit from a World of Big Data, Analytics and Artificial Intelligence

English · Hardback

Shipping usually within 3 to 5 weeks

Description

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Master the skills and tools needed to leverage data, create a data-driven strategy and gain the competitive advantage.

List of contents










Chapter - 01: Introduction - Why every business is now a data business; Chapter - 02: Use cases for data; Chapter - 03: Using data to improve your business decisions; Chapter - 04: Using data to understand your customers; Chapter - 05: Using data to create more intelligent services; Chapter - 06: Using data to make more intelligent products; Chapter - 07: Using data to improve your business processes; Chapter - 08: Monetizing your data; Chapter - 09: Defining your data use cases; Chapter - 10: Sourcing and collecting data; Chapter - 11: Data governance, ethics and trust; Chapter - 12: Turning data into insights; Chapter - 13: Creating a technology and data infrastructure; Chapter - 14: Building data competencies in your organization; Chapter - 15: Executing and revisiting your data strategy; Chapter - 16: Looking ahead

About the author

Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI, AI & Big Data guru. He has worked with and advised many of the world's best-known organisations. LinkedIn has recently ranked Bernard as the number one LinkedIn Top Voice among UK influncers. He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse. His blogs and SlideShare presentation of the topic have millions of readers.

Product details

Authors Bernard Marr, Marr Bernard
Publisher Kogan Page
 
Languages English
Product format Hardback
Released 03.10.2021
 
EAN 9781398602601
ISBN 978-1-3986-0260-1
No. of pages 272
Dimensions 164 mm x 240 mm x 28 mm
Weight 665 g
Subjects Social sciences, law, business > Business > Management

BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Strategic Planning, business strategy, COMPUTERS / Data Science / Data Analytics

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