Big Data

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 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

Autorentext

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.

Klappentext

GET SMART – LEARN TO 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. 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 shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organizations large and small use the SMART model to get ahead:

• Start with Strategy
• Measure Metrics and Data
• Apply Analytics
• Report Results
• Transform Business

Zusammenfassung
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 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

Inhalt

Introduction: Welcome to a Smarter World 1

1 Smarter Business 9

2 S = Start With Strategy 23

3 M = Measure Metrics and Data 57

4 A = Apply Analytics 105

5 R = Report Results 155

6 T = Transform Business 199

Conclusion 231

About the Author 236

Acknowledgements 238

Index 239