Analytics at Work : Smarter Decisions, Better Results by Thomas H. Davenport,...
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Analytics at Work : Smarter Decisions, Better Results by Thomas H. Davenport,...
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Item specifics
- Condition
- Good
- Seller Notes
- “Has only highlighted and underlined markings. The rest of the book is in excellent condition.”
- Narrative Type
- Nonfiction
- ISBN
- 9781422177693
About this product
Product Identifiers
Publisher
Harvard Business Review Press
ISBN-10
1422177696
ISBN-13
9781422177693
eBay Product ID (ePID)
73366858
Product Key Features
Book Title
Analytics at Work : Smarter Decisions, Better Results
Number of Pages
240 Pages
Language
English
Publication Year
2010
Topic
Business Ethics, Decision-Making & Problem Solving, Management, Business Mathematics
Illustrator
Yes
Genre
Education, Business & Economics
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
16.8 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Trade
LCCN
2009-032263
Reviews
"Harvard Business School Press, Davenport in particular, has produced some excellent books on competitive analytics and the like, with good case studies..." - ZD Net, Harvard Business School Press, Davenport in particular, has produced some excellent books on competitive analytics and the like, with good case studies…" - ZD Net
Dewey Edition
22
Dewey Decimal
658.4013
Table Of Content
Table of Contents Preface and Acknowledgements Chapter 1 What It Means to Put Analytics to Work Part 1 The Analytical DELTA Chapter 2 Data Chapter 3 Enterprise Chapter 4 Leadership Chapter 5 Targets Chapter 6 Analysts Part 2 Staying Analytical Chapter 7 Embedding Analytics in Business Processes Chapter 8 Build an Analytical Culture Chapter 9 Review Comprehensively Chapter 10 The Analytical Journey: Meeting Challenges Along the Way Chapter 11 Toward More Analytical Decisions and Better Results Appendix The DELTA Journey
Synopsis
Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results. In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations'one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed. Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to: Use data more effectively and glean valuable analytical insights · Manage and coordinate data, people, and technology at an enterprise level · Understand and support what analytical leaders do Evaluate and choose realistic targets for analytical activity · Recruit, hire, and manage analysts Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data., Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results. In their previous book, Competing on Analytics , Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. Now, in Analytics at Work , Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations--one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed. Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to: - Use data more effectively and glean valuable analytical insights - Manage and coordinate data, people, and technology at an enterprise level - Understand and support what analytical leaders do - Evaluate and choose realistic targets for analytical activity - Recruit, hire, and manage analysts Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data., Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results. In their previous book, Competing on Analytics , Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. Now, in Analytics at Work , Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations--one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed. Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to: · Use data more effectively and glean valuable analytical insights · Manage and coordinate data, people, and technology at an enterprise level · Understand and support what analytical leaders do · Evaluate and choose realistic targets for analytical activity · Recruit, hire, and manage analysts Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.
LC Classification Number
HD38.7.D378 2010
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