Data Strategy How to Profit from a World of Big Data Analytics and the Internet of Things eBook Bernard Marr ebook QGZ

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Téléchargez le PDF Data Strategy How to Profit from a World of Big Data Analytics and the Internet of Things eBook Bernard Marr WPC

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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. 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.

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Data Strategy How to Profit from a World of Big Data Analytics and the Internet of Things eBook Bernard Marr Reviews :

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. 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.

ebook,Bernard Marr,Data Strategy How to Profit from a World of Big Data, Analytics and the Internet of Things,Kogan Page,Databases - Data Mining,Decision-Making Problem Solving,Strategic Planning,ANF Business and Management,BUSINESS ECONOMICS / Decision-Making Problem Solving,BUSINESS ECONOMICS / Strategic Planning,Business Economics/Decision Making Problem Solving,Business Economics/Information Management,Business - Data processing,Business information services,Business intelligence,Business strategy,Business, Finance Law,Business/Economics,COMPUTERS / Databases / Data Mining,Computers/Databases - Data Mining,GENERAL,Information, Knowledge Data Management,Management Business General,Management Analytics,Strategic Management,data analytics; internet of things; data insight; big data; market research,BUSINESS ECONOMICS / Decision-Making Problem Solving,BUSINESS ECONOMICS / Strategic Planning,Business Economics/Decision Making Problem Solving,Business Economics/Information Management,COMPUTERS / Databases / Data Mining,Computers/Databases - Data Mining,Corporate Planning,Databases,Business Economics,Business/Economics,Management Business General,Business strategy

Data Strategy How to Profit from a World of Big Data, Analytics and the Internet of Things - edition by Bernard Marr. Download it once and read it on your device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Data Strategy How to Profit from a World of Big Data, Analytics and the Internet of Things.

 

Product details File Size 595 KB Print Length 200 pages Publisher Kogan Page; 1 edition (April 3, 2017) Publication Date April 3, 2017 Sold by  Services LLC Language English ASIN B06XWDM3CW

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