Simon Asplen-Taylor

Data and Analytics Strategy for Business

Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

• Gebundenes Buch

Produktbeschreibung

Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects.

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Produktdetails

• Verlag: Kogan Page
• Seitenzahl: 328
• Erscheinungstermin: 28. Juni 2022
• Englisch
• Abmessung: 234mm x 156mm x 27mm
• Gewicht: 640g
• ISBN-13: 9781398606074
• ISBN-10: 1398606073
• Artikelnr.: 62547376

Autorenporträt

Simon Asplen-Taylor

Inhaltsangabe

Section
ONE: How data and analytics can help you grow your business; Chapter
01: How can this book help you?; Chapter
02: The business case for data; Chapter
03: Your data and analytics strategy; Chapter
04: A team game; Section
TWO: Wave 1
Aspire; Chapter
05: A quick win; Chapter
06: Repeat and learn; Section
THREE: Wave 2
Mature; Chapter
07: Data governance; Chapter
08: Data quality; Chapter
09: A single customer view; Chapter
10: Reports and dashboards; Chapter
11: Data risk management and ethics; Section
PART FOUR: Wave 3
Industrialize; Chapter
12: Automation, automation, automation; Chapter
13: Scaling up and scaling out; Chapter
14: Optimizing; Section
PART FIVE: Wave 4
Realize; Chapter
15: The voice of the customer; Chapter
16: Maximizing data science; Chapter
17: Sharing data with suppliers and customers; Section
PART SIX: Wave 5
Differentiate; Chapter
18: From data
driven to AI
driven; Chapter
19: Data products; Chapter
20: Right leadership, right time; Chapter
21: Epilogue
Data success

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• Section - ONE: How data and analytics can help you grow your business;
• • Chapter - 01: How can this book help you?;
  • Chapter - 02: The business case for data;
  • Chapter - 03: Your data and analytics strategy;
  • Chapter - 04: A team game;
• Section - TWO: Wave 1 - Aspire;
• • Chapter - 05: A quick win;
  • Chapter - 06: Repeat and learn;
• Section - THREE: Wave 2 - Mature;
• • Chapter - 07: Data governance;
  • Chapter - 08: Data quality;
  • Chapter - 09: A single customer view;
  • Chapter - 10: Reports and dashboards;
  • Chapter - 11: Data risk management and ethics;
• Section - PART FOUR: Wave 3 - Industrialize;
• • Chapter - 12: Automation, automation, automation;
  • Chapter - 13: Scaling up and scaling out;
  • Chapter - 14: Optimizing;
• Section - PART FIVE: Wave 4 - Realize;
• • Chapter - 15: The voice of the customer;
  • Chapter - 16: Maximizing data science;
  • Chapter - 17: Sharing data with suppliers and customers;
• Section - PART SIX: Wave 5 - Differentiate;
• • Chapter - 18: From data-driven to AI-driven;
  • Chapter - 19: Data products;
  • Chapter - 20: Right leadership, right time;
  • Chapter - 21: Epilogue - Data success

Rezensionen

"In my experience taking people somewhere they've not been before requires leadership and trust, whether that's climbing Everest or making a success of your business through the use of data and analytics. In Data and Analytics Strategy for Business, Simon cuts through the jargon and provides a clear route for success." Kenton Cool has completed 15 successful Everest summits and led Sir Ranulph Fiennes' 2008 and 2009 Expeditions.