Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things
- 4h 10m
- Bernard Marr
- Kogan Page
- 2017
Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.
Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.
About the Author
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru. He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others on their business and data strategies. He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse.
In this Book
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Why Every Business is Now a Data Business
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Deciding Your Strategic Data Needs
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Using Data to Improve Your Business Decisions
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Using Data to Improve Your Business Operations
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Monetizing Your Data
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Sourcing and Collecting Data
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Turning Data into Insights
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Creating the Technology and Data Infrastructure
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Building Data Competencies in Your Organization
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Ensuring Your Data Doesn't Become a Liability—Data Governance
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Executing and Revisiting Your Data Strategy
