Fr. 156.00

Value-Driven Data - Identifying, Communicating and Delivering Effective Business Solutions with Data

English · Hardback

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Description

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Translate data into value for your business with this strategic guide to identifying, communicating and developing data solutions and opportunities.

List of contents










Chapter - 00: Introduction Section - ONE: Vision: Discovering and capturing data value opportunities Chapter - 01: What is data vision? Chapter - 02: Capturing data visions Chapter - 03: Why data visions of all size matter Chapter - 04: The destructive impact of data vision misalignment Chapter - 05: Simplifying data vision misalignments Section - TWO: Obstacle: The things that stand between data visions and data value realisation Chapter - 06: Obstacles of the past Chapter - 07: Obstacles of the future Chapter - 08: Obstacles of the present Section - THREE: Value: Identifying, capturing and communicating data value Chapter - 09: Capturing data value propositions Chapter - 10: Measuring data value for business case and operational assurance Chapter - 11: The data value measurement lifecycle Chapter - 12: A data value account for data profits and losses Chapter - 13: Presenting data value to the CXO, EXCO and the board Chapter - 14: Conclusion: Bringing it all together

About the author










Edosa Odaro is an AI and data transformation leader who has helped countless international organizations deliver significant impact through data analytics, transformation strategy and intelligent interventions. He is Chief Data and Analytics Officer at Tawuniya and is on the board for the UK's National Institute for Health Data Science (HDR UK). Odaro has been named a Financial Times Top 100 Most Influential Leader and one of the UK's 30 Most Influential Black Leaders in FinTech.

Product details

Authors Edosa Odaro
Publisher Kogan Page
 
Languages English
Product format Hardback
Released 03.08.2023
 
EAN 9781398608641
ISBN 978-1-3986-0864-1
No. of pages 256
Dimensions 164 mm x 242 mm x 26 mm
Weight 640 g
Subjects Social sciences, law, business > Business > Miscellaneous

BUSINESS & ECONOMICS / Strategic Planning, business strategy, COMPUTERS / Data Science / Data Visualization, Data analysis: general, Data science and analysis: general, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis

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