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Author Marr, Bernard, author.

Title Big data for small business / Bernard Marr.

Publication Info. Chichester, West Sussex, United Kingdom : Wiley, 2016.
©2016
Location Call No. Status
 95th Street Adult Nonfiction  658.4038028 MAR    AVAILABLE
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Description xi, 242 pages ; 24 cm.
Series --For dummies.
Note Includes index.
Summary Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. * Shows you how to use big data to make sense of user activity on social networks and customer transactions * Demonstrates how to capture, store, search, share, analyse and visualise analytics * Helps you turn your data into actionable insights * Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.
Subject Big data.
Data mining.
Organizational effectiveness -- Data processing.
Decision making -- Data processing.
Business planning -- Data processing.
Information technology -- Management.
Management -- Statistical methods.
Decision making -- Statistical methods.
ISBN 9781119027034 (paperback)
1119027039 (paperback)
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