Download Data Strategy: How to Profit from a World of Big Data, by Bernard Marr PDF

By Bernard Marr

ISBN-10: 074947985X

ISBN-13: 9780749479855

Data is revolutionizing the best way all of us do enterprise. each company is now a knowledge enterprise and wishes a strong Data Strategy. even if lower than half% of all facts is ever analysed and used, supplying large power for firms whilst attempting to leverage this key strategic asset.

what's the price of your information and the way does it generate enterprise price? Data Strategy, via bestselling writer Bernard Marr, presents a transparent blueprint displaying what agencies have to do to outline and execute an efficient plan for one in all their largest strategic resources: info.

It exhibits you ways to:

- outline your strategic info resources and knowledge audience
- assemble the necessary info and installed position new assortment methods
- get the main from predictive analytics and computing device learning
- have definitely the right know-how, information infrastructure and key facts potential
- 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 agencies resembling Walmart, RBS, Google and NASA, Data Strategy will equip any association with the instruments and methods it must benefit from sizeable information, analytics and the web of Things.

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

Sample text

Google’s voice recognition algorithms, for instance, work from a massive training set, but it’s still not nearly big enough to predict every possible word, phrase or question. But the technology is improving all the time, and machine and deep learning are responsible for advances in computer vision, audio and speech recognition and natural language processing. It is what allows computers to communicate with humans (not always 100 per cent successfully, as Microsoft’s slightly crazy, racist Twitter bot proved), and makes Google’s self-driving cars possible.

How data is revolutionizing the world of business Every business must become a data business Endnotes 02 Deciding your strategic data needs Using data to make better business decisions Using data to improve your operations Transforming your business model: data as a business asset The importance of the right data, not all data Making a strong business case for data Endnotes 03 Using data to improve your business decisions Setting out your key business questions Questions related to your customers, markets and competition Visualizing and communicating insights from data Endnote 04 Using data to improve your business operations Optimizing your operational processes with data Using data to improve your customer offering Endnotes 05 Monetizing your data Increasing the value of your organization When data itself is the core business asset When the value lies in a company’s ability to work with data Selling data to customers or interested parties Understanding the value of user-generated data 06 Sourcing and collecting data Understanding the different types of data Taking a look at newer types of data Gathering your internal data Accessing external data When the data you want doesn’t exist Endnote 07 Turning data into insights How analytics has evolved Looking at the different types of analytics Advanced analytics: machine learning, deep learning and cognitive computing Combining analytics for maximum success 08 Creating the technology and data infrastructure ‘Big data as a service’: the one-stop solution for businesses?

This technology means computers can change and improve their algorithms by themselves, without being explicitly programmed by humans. How does it work? Put simply, if we give the computer a picture of a cat and a picture of a ball, and show it which one is the cat, we can then ask it to decide if subsequent pictures contain cats. The computer compares other images to its training data set (ie the original cat image) and comes up with an answer. Today’s machine learning algorithms can do this unsupervised, meaning they do not need their decisions to be pre-programmed.

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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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