Data and Analytics Strategy for Business

Leverage Data and AI to Achieve Your Business Goals
2. Auflage 2025
ISBN: 978-1-3986-2201-2
Verlag: Kogan Page

Buch, Englisch, 328 Seiten, Format (B × H): 229 mm x 153 mm, Gewicht: 524 g

Data presents a tremendous opportunity for businesses to increase revenue, reduce costs, mitigate risks, and improve customer satisfaction. An effective data strategy leveraging AI allows businesses to take advantage of the data they have. Data and Analytics Strategy for Business is a practical guide for senior data leaders building a strategy for their organization. Starting with identifying the kind of data projects that reflect their company's goals and mission, it explains in detail how leaders can get buy-in for these projects from the rest of the organization. With emphasis on sourcing and identifying quality data, reporting and developing dashboards, using AI, understanding ethical considerations and better serving customers, this book provides the keys to using data to drive improved business results. Incorporating the latest developments in AI, this new edition of Data and Analytics Strategy for Business shows how leaders can use AI right away to get value from their existing strategy. It provides practical guidance and recommendations for implementing AI and machine learning to maximize performance. Filled with real-world examples from organizations including Tesco, Transport for London and Bupa, this book is a step-by-step guide to designing and implementing a results-driven data strategy.

Autoren/Hrsg.

Asplen-Taylor, Simon

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

• 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: A team game;
• Section - PART TWO: Wave 1 - Aspire;
• • Chapter - 05: A quick win;
  • Chapter - 06: Repeat and learn;
• Section - PART 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: Data products;
  • Chapter - 19: Right leadership, right time;
  • Chapter - 20: Epilogue - Data success

Über Autor(innen)

Asplen-Taylor, Simon
<b>Simon Asplen-Taylor</b> is the founder and CEO of VALSTR, 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.

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. He In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.