Data strategy
how to use data and artificial intelligence to transform your business
- ISBN: 9781398619593
- Editorial: Kogan Page Ltd.
- Fecha de la edición: 2025
- Lugar de la edición: London. Reino Unido
- Edición número: 3rd ed.
- Encuadernación: Rústica
- Medidas: 24 cm
- Nº Pág.: 296
- Idiomas: Inglés
Is your business equipped with a data strategy that drives real impact?
Data Strategy is an essential guide for business leaders who want to use data to build a competitive, future-ready organization. Written by bestselling author and futurist Bernard Marr, this book shows how to design and implement a practical strategy to collect, manage and use data for measurable business performance.
Now on its third edition, this fully updated book reflects the latest developments in AI, synthetic data, quantum computing, regulation and cybersecurity, giving leaders the context and tools to act decisively in a rapidly evolving data economy.
You'll learn how to:
- Understand how data creates value across operations and decisions
- Collaborate with data teams to build a business-led strategy
- Integrate AI, automation and analytics into enterprise capability
- Navigate ethics, governance and regulatory complexity
- Prepare for the future with insight on emerging technologies
With clear models and actionable insight, Data Strategy helps senior leaders unlock growth, drive value and lead with confidence in a data-driven world.
Themes include: data strategy, AI integration, business transformation, data governance, digital leadership, emerging technologies
Chapter - 01: Introduction - Why every business is now a data business
Chapter - 02: Use cases for data
Chapter - 03: Using data to improve your decision making
Chapter - 04: Using data to understand your customers
Chapter - 05: Using data to create more intelligent services
Chapter - 06: Using data to make more intelligent products
Chapter - 07: Using data to improve your business operations
Chapter - 08: Increasing the value of your organisation through data and AI
Chapter - 09: Defining your data use cases
Chapter - 10: Sourcing and collecting data
Chapter - 11: Ethics, data governance, trust and cybersecurity
Chapter - 12: Turning data into insights
Chapter - 13: Creating a technology and data infrastructure
Chapter - 14: Building data competencies in your organization
Chapter - 15: Executing and revisiting your data strategy
Chapter - 16: Looking ahead
