Execute a data strategy to improve your business decisions, create more intelligence products and gain a competitive advantage for your business.
Every business needs data to survive. Build and execute a strategy to take advantage of data and generate critical insights with bestselling author and world-renowned data expert Bernard Marr. Data Strategy is the key to building a robust, data-driven strategy that will give your business the competitive advantage it needs to succeed in the digital economy. From small organizations to huge multinationals, a data-driven strategy gives every organization the tools to revolutionize their uses of data to deliver impact and profits. By building the right strategy to collect, use and manage data, this book prepares any organization for the data-driven future.
In its fully updated third edition, this bestselling title covers the rapidly developing fields of data and AI. With updates covering synthetic data, generative AI, the potential of quantum computing and expanded content on cybersecurity, regulations and ethics, this book provides real-world examples showcasing to how to craft your own strategy. Bernard Marr uses his unrivalled expertise to show how you can gain an edge in the rapidly evolving data-driven world.
Inhaltsverzeichnis
- Chapter - 01: Introduction - Why every business is now a data business;
- Chapter - 02: Use cases for data;
- Chapter - 03: Using data to improve your business decisions;
- 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 processes;
- Chapter - 08: Monetizing your data;
- Chapter - 09: Defining your data use cases;
- Chapter - 10: Sourcing and collecting data;
- Chapter - 11: Data governance, cybersecurity, ethics and trust;
- 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 - AI and data