Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects.
Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Simon Asplen-Taylor is the founder and CEO of DataTick, a leading data, analytics and AI consultancy. He was the UK's first Chief Data Officer (CDO) and previously served as CDO for multiple FTSE firms including Bupa and led some of the largest data-led transformations in Europe. He is a Fellow of the Royal Statistical Society and serves on their AI Taskforce. In 2023, CEO Magazine named him Most Influential Data Analytics CEO and in 2025, he was awarded a Top 100 Influential People award. He is based in London, UK.
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 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.
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