Data Strategy: How to Profit from a World of Big Data, - download pdf or read online

By Bernard Marr

ISBN-10: 074947985X

ISBN-13: 9780749479855

Data is revolutionizing the way in which all of us do enterprise. each enterprise is now an information company and desires a powerful Data Strategy. notwithstanding lower than 1/2% of all information is ever analysed and used, supplying large strength for organizations whilst attempting to leverage this key strategic asset.

what's the worth of your facts and the way does it generate company worth? Data Strategy, via bestselling writer Bernard Marr, presents a transparent blueprint exhibiting what agencies have to do to outline and execute an efficient plan for one among their largest strategic resources: facts.

It exhibits you the way to:

- outline your strategic facts resources and knowledge audience
- assemble the mandatory facts and installed position new assortment methods
- get the main from predictive analytics and desktop learning
- have the fitting expertise, information infrastructure and key information advantage
- make sure you have a good safety and governance approach in position to prevent large monetary, felony and reputational difficulties.

Illustrated with case examples of businesses akin to Walmart, RBS, Google and NASA, Data Strategy will equip any association with the instruments and techniques it must benefit from huge information, analytics and the web of Things.

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Additional info for Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things

Example text

Your computer could recognize when you are frustrated or struggling with a task and provide additional information to help you along. Your phone could tell you to take a break when your stress levels are high. Or, without being asked, your smart home could provide soothing music and lighting when you get in from a bad day at the office. If this all sounds a bit far-fetched, it’s not. Leading organizations like Disney, the BBC and Coca-Cola are already partnering with Affectiva, a company specializing in facial recognition technology, to test the effectiveness of adverts and assess how viewers react to content.

The third era of industry came about with the advent of computers and the beginnings of automation, when robots and machines began to replace human workers on those assembly lines. 0, in which computers and automation will come together in an entirely new way, with robotics connected remotely to computer systems equipped with machine learning algorithms that can learn and control the robotics with very little input from human operators. 0 introduces the notion of the ‘smart factory’, in which cyber-physical systems (a combination of computers, networks and physical actions) monitor the physical processes of the factory and make decentralized decisions.

Data captured through all its channels – text message, Twitter, Android, Amazon Echo, to name just a fraction – is fed into the Domino’s Information Management Framework. There it’s combined with enrichment data from a large number of third-party sources, such as the United States Postal Service, as well as geocode information, and demographic and competitor data, to allow in-depth customer segmentation. This means that individual customers or households can be presented with totally different presentation layers than others – different coupons and product offers – based on statistical modelling of customers fitting their profile.

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


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