Simon Asplen-Taylor

Data and Analytics Strategy for Business (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.

Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors.

Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.

Produktdetails

• Verlag: Kogan Page eBook
• Seitenzahl: 328
• Erscheinungstermin: 3. Juni 2022
• Englisch
• ISBN-13: 9781398606067
• Artikelnr.: 64097251

Autorenporträt

Simon Asplen-Taylor is an experienced and successful data and analytics leader based in London, UK, having served as Chief Data Officer for multiple FTSE firms and led some of the largest data led transformations in Europe. He specialises in transforming business through the use of data, analytics and artificial intelligence and is currently leading the data transformation at Lloyd's of London. He was included in the dataIQ 100 Most Influential People in Data in both 2020 and 2021.

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

---

• 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.