Book description
Convert the promise of big data into real world resultsThere is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.
- Discusses how companies need to clearly define what it is they need to know
- Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
- Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
- Includes many high-profile case studies from the author's work with some of the world's best known brands
Table of contents
- Introduction: Welcome to a Smarter World
- 1 SMARTER BUSINESS
- 2 S = START WITH STRATEGY
- 3 M = MEASURE METRICS AND DATA
- 4 A = APPLY ANALYTICS
- 5 R = REPORT RESULTS
-
6 T = TRANSFORM BUSINESS
- Better understand and target customers
- Improve and optimize business processes
- Improve people's health and well-being
- Improve business security and reduce fraud
- Drive business and people performance
- Improve cities and other infrastructure
- New business opportunities
- Smart will transform employment too
- Key points and call to action
- Notes
- Conclusion
- About the Author
- Acknowledgements
- Index
- End User License Agreement
Product information
- Title: Big Data
- Author(s):
- Release date: March 2015
- Publisher(s): Wiley
- ISBN: 9781118965832
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