Data strategy: how to profit from a world of big data, analytics and the internet of things
- London Kogan Page Limited 2017
- xiii, 186p. With index
Table of contents
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
Less 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.