E-raamat: Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things

(Advanced Performance Institute Buckinghamshire UK)
  • Formaat: 200 pages, black & white illustrations
  • Ilmumisaeg: 03-Apr-2017
  • Kirjastus: Kogan Page Ltd
  • ISBN-13: 9780749479862
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  • Formaat: 200 pages, black & white illustrations
  • Ilmumisaeg: 03-Apr-2017
  • Kirjastus: Kogan Page Ltd
  • ISBN-13: 9780749479862
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Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge potential for organisations when trying to leverage this key strategic asset.

What is the value of your data and how does it generate business value? Data Strategy, by bestselling author Bernard Marr, provides a clear blueprint showing what organizations need to do to define and execute an effective plan for one of their biggest strategic assets: data. It shows you how to:

- define your strategic data assets and data audience
- gather the required data and put in place new collection methods
- get the most from predictive analytics and machine learning
- have the right technology, data infrastructure and key data competencies
- ensure you have an effective security and governance system in place to avoid huge financial, legal and reputational problems.

Illustrated with case examples of organizations such as Walmart, RBS, Google and NASA, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.



Explains how to profit from an effective data strategy in a world of Big Data, Analytics and the Internet of Things

Muu info

Runner-up for Bronze in the 'Business Technology' category for the 2018 Axiom Awards 2018 (UK).
About the author xi
Acknowledgements xiii
01 Why every business is now a data business
1(20)
The astonishing growth of big data and the Internet of Things
1(1)
A brave new (data-driven) world
2(3)
Are we nearing artificial intelligence?
5(2)
How data is revolutionizing the world of business
7(9)
Every business must become a data business
16(3)
Endnotes
19(2)
02 Deciding your strategic data needs
21(16)
Using data to make better business decisions
22(3)
Using data to improve your operations
25(6)
Transforming your business model: data as a business asset
31(2)
The importance of the right data, not all data
33(2)
Making a strong business case for data
35(1)
Endnotes
36(1)
03 Using data to improve your business decisions
37(20)
Setting out your key business questions
37(3)
Questions related to your customers, markets and competition
40(10)
Visualizing and communicating insights from data
50(5)
Endnote
55(2)
04 Using data to improve your business operations
57(16)
Optimizing your operational processes with data
58(8)
Using data to improve your customer offering
66(5)
Endnotes
71(2)
05 Monetizing your data
73(12)
Increasing the value of your organization
74(1)
When data itself is the core business asset
74(3)
When the value lies in a company's ability to work with data
77(1)
Selling data to customers or interested parties
78(4)
Understanding the value of user-generated data
82(3)
06 Sourcing and collecting data
85(16)
Understanding the different types of data
86(7)
Taking a look at newer types of data
93(3)
Gathering your internal data
96(1)
Accessing external data
97(2)
When the data you want doesn't exist
99(1)
Endnote
100(1)
07 Turning data into insights
101(18)
How analytics has evolved
102(1)
Looking at the different types of analytics
103(11)
Advanced analytics: machine learning, deep learning and cognitive computing
114(3)
Combining analytics for maximum success
117(2)
08 Creating the technology and data infrastructure
119(18)
`Big data as a service': the one-stop solution for businesses?
120(2)
Collecting data
122(2)
Storing data
124(5)
Analysing and processing data
129(3)
Providing access to data
132(3)
Endnote
135(2)
09 Building data competencies in your organization
137(14)
The big data skill shortage, and what it means for your business
138(2)
Building internal skills and competencies
140(5)
Outsourcing your data analysis
145(5)
Endnotes
150(1)
10 Ensuring your data doesn't become a liability: data governance
151(16)
Considering data ownership and privacy
152(7)
Tackling data security
159(4)
Practising good data governance
163(2)
Endnotes
165(2)
11 Executing and revisiting your data strategy
167(14)
Putting the data strategy into practice
167(5)
Creating a data culture
172(1)
Revisiting the data strategy
173(6)
Endnotes
179(2)
Index 181
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant and analytics, KPI & Big Data guru. He has worked with and advised many of the world's best-known organizations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, the Ministry of Defence, Microsoft, Oracle, the Home Office, the NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others on their business and data strategies. He writes on the topic of data and analytics for various publications including Forbes, HuffPost and LinkedIn Pulse.