Data Strategy
How to Profit from a World of Big Data, Analytics and the Internet of Things
(Sprache: Englisch)
Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge potential for organisations when trying to leverage this...
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Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge potential for organisations when trying to leverage this key strategic asset. What is the value of your data and how does it generate business value? Data Strategy, by bestselling author Bernard Marr, provides a clear blueprint showing what organizations need to do to define and execute an effective plan for one of their biggest strategic assets: data. It shows you how to: - define your strategic data assets and data audience - gather the required data and put in place new collection methods - get the most from predictive analytics and machine learning - have the right technology, data infrastructure and key data competencies - ensure you have an effective security and governance system in place to avoid huge financial, legal and reputational problems. Illustrated with case examples of organizations such as Walmart, RBS, Google and NASA, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.
Klappentext zu „Data Strategy “
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology CategoryLess than 0.5 per cent of all data is currently analyzed 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. 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.
Inhaltsverzeichnis zu „Data Strategy “
Chapter - 01: Why Every Business is Now a Data Business; Chapter - 02: Deciding Your Strategic Data Needs; Chapter - 03: Using Data to Improve your Business Decisions; Chapter - 04: Using Data to Improve your Business Operations; Chapter - 05: Monetizing your Data; Chapter - 06: Sourcing and Collecting Data; Chapter - 07: Turning Data into Insights; Chapter - 08: Creating the Technology and Data Infrastructure; Chapter - 09: Building Data Competencies in Your Organisation; Chapter - 10: Ensuring Your Data Doesn't Become a Liability: Data Governance; Chapter - 11: Executing and Revisiting your Data Strategy
Autoren-Porträt von Bernard Marr
Bernard Marr is a big data guru and bestselling author. A strategic performance consultant, he has and advised many of the world's best-known organizations including Accenture, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell on their business and data strategies. A frequent keynote speaker, he also writes on the topic of data and analytics for various publications including Forbes, the Huffington Post and LinkedIn Pulse. Bernard Marr is also the author of Data Strategy (2017) published by Kogan Page.
Bibliographische Angaben
- Autor: Bernard Marr
- 2017, 1. Aufl., 224 Seiten, Masse: 15,6 x 23,4 cm, Kartoniert (TB), Englisch
- Verlag: Kogan Page
- ISBN-10: 074947985X
- ISBN-13: 9780749479855
- Erscheinungsdatum: 29.03.2017
Sprache:
Englisch
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