Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
Language: English
Published by John Wiley & Sons Inc, United States, New York, 2015
- Softcover
- Used
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
AbeBooks seller since March 16, 2007
Condition: Used - Very good
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Add to basketItem description from seller
Convert the promise of big data into real world results There 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 knowOutlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questionsAddresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand themIncludes many high-profile case studies from the author's work with some of the world's best known brands. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…
Seller Inventory # GOR007508835
- Title
- Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
- Author
- Bernard Marr (Advanced Performance Institute, Buckinghamshire, UK)
- Publisher
- John Wiley & Sons Inc, United States, New York
- Publication year
- 2015
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1118965833
- ISBN 13
- 9781118965832
- Item weight
- 381 grams
- Dimensions
- 137.0 x 211.0
There 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
"Synopsis" may belong to another edition of this title.
About the Author
BERNARD MARR the 'Big Data Guru' is one of the world's most highly respected voices anywhere when it comes to data in business. In Big Data, you have access to techniques for converting raw information into real business results. Marr brings complex concepts down to earth, so you can use data the SMART way to transform everything you do.
"About the title" may belong to another edition of this title.
WorldofBooks
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