Execute a data strategy to improve your business decisions, build stronger products and gain a competitive advantage for your business.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI, AI & Big Data guru. He has worked with and advised many of the world's best-known organisations. LinkedIn has recently ranked Bernard as the number one LinkedIn Top Voice among UK influncers. He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse. His blogs and SlideShare presentation of the topic have millions of readers.
Inhaltsangabe
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
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, 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 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
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, 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
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