Bernard Marr
Data Strategy
How to Profit from a World of Big Data, Analytics and Artificial Intelligence
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Bernard Marr
Data Strategy
How to Profit from a World of Big Data, Analytics and Artificial Intelligence
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Master the skills and tools needed to leverage data, create a data-driven strategy and gain the competitive advantage.
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Master the skills and tools needed to leverage data, create a data-driven strategy and gain the competitive advantage.
Produktdetails
- Produktdetails
- Verlag: Kogan Page
- 2nd edition
- Seitenzahl: 272
- Erscheinungstermin: 26. Oktober 2021
- Englisch
- Abmessung: 238mm x 160mm x 25mm
- Gewicht: 668g
- ISBN-13: 9781398602601
- ISBN-10: 1398602604
- Artikelnr.: 60884471
- Verlag: Kogan Page
- 2nd edition
- Seitenzahl: 272
- Erscheinungstermin: 26. Oktober 2021
- Englisch
- Abmessung: 238mm x 160mm x 25mm
- Gewicht: 668g
- ISBN-13: 9781398602601
- ISBN-10: 1398602604
- Artikelnr.: 60884471
Bernard Marr is a bestselling author, futurist and world-renowned expert in the areas of data and artificial intelligence. He is the author of 20 books, writes a regular column for Forbes and works for and coaches many of the world's best-known organizations, including Amazon, Google, Microsoft, IBM, Shell, NATO and the UN. He is also a major influencer with over 2 million social media followers and over 1 million newsletter subscribers. LinkedIn ranked him as one of the top 5 business influencers in the world and the No 1 influencer in the UK.
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
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
- 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
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
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
- 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