Design, implement and execute a data strategy that harnesses AI with this guide to driving innovation and creating value.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 and was the first Chief Data Officer in the UK. He previously served as Chief Data Officer for multiple FTSE firms including Bupa, UBS, Tesco and Regus and led some of the largest data led transformations in Europe. He is a Fellow of the Royal Statistical Society (RSS) and serves on the RSS's AI Taskforce. In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.
Inhaltsangabe
Section PART 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: AI Strategy Chapter 05: A team game; Section PART TWO: Wave 1 Aspire; Chapter 06: A quick win; Chapter 07: Repeat and learn; Section PART THREE: Wave 2 Mature; Chapter 08: Data governance; Chapter 09: Data quality; Chapter 10: Single Customer View (SCV); Chapter 11: Generating insights; Chapter 12: Data risk management and ethics; Section PART FOUR: Wave 3 Industrialize; Chapter 13: Automation, automation, automation; Chapter 14: Scaling up and scaling out; Chapter 15: Data and AI culture; Section PART FIVE: Wave 4 Realize; Chapter 16: The voice of the customer; Chapter 17: Maximizing data science and AI; Chapter 18: Sharing data with suppliers and customers; Section PART SIX: Wave 5 Differentiate; 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 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: AI Strategy Chapter 05: A team game; Section PART TWO: Wave 1 Aspire; Chapter 06: A quick win; Chapter 07: Repeat and learn; Section PART THREE: Wave 2 Mature; Chapter 08: Data governance; Chapter 09: Data quality; Chapter 10: Single Customer View (SCV); Chapter 11: Generating insights; Chapter 12: Data risk management and ethics; Section PART FOUR: Wave 3 Industrialize; Chapter 13: Automation, automation, automation; Chapter 14: Scaling up and scaling out; Chapter 15: Data and AI culture; Section PART FIVE: Wave 4 Realize; Chapter 16: The voice of the customer; Chapter 17: Maximizing data science and AI; Chapter 18: Sharing data with suppliers and customers; Section PART SIX: Wave 5 Differentiate; 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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