The Data to Dollars (TM) Value Chain
A Practical Guide to Business Analytics
Published on 15. July 2017
Book
Paperback/Softback
384 pages
978-0-12-405887-3 (ISBN)
Description
The Data to Dollars (TM) Value Chain: A Practical Guide to Business Analytics provides guidance on how to create successful analytics projects, assemble teams, and plan for ongoing initiatives. The book is a thoughtful, skilled, technical and analytical guide on the methods used to truly understand customers, consumer behavior, and market opportunities.
This practical guide contains all components of the process, along with the methods and templates needed to unlock the potential of data. Readers will learn how to "reduce the barrier to benefit" from analytics by enabling their team to get more from their analytics efforts despite budget constraints, how to staff talent and experience, how to use knowledge, and how to recognize data quality, availability, and potential political barriers within an organization.
This practical guide contains all components of the process, along with the methods and templates needed to unlock the potential of data. Readers will learn how to "reduce the barrier to benefit" from analytics by enabling their team to get more from their analytics efforts despite budget constraints, how to staff talent and experience, how to use knowledge, and how to recognize data quality, availability, and potential political barriers within an organization.
More details
Series
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
heads of analytics, data scientists and analysts, marketing and sales analysts, product pricing managers/analysts, social/digital media managers, CIOs, CTOs
Illustrations
75 illustrations; Illustrations
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-0-12-405887-3 (9780124058873)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
The Founder and Managing Partner of Fitzgerald Analytics, Jaime has developed a distinctively quantitative, fact-based, and transparent approach to solving high stakes problems and improving results. His approach enables translation of Data to Dollars (TM) using methodologies clients can repeat again and again. He is equally passionate about the "human side of the equation,? and is known for his ability to link the human and the quantitative, both of which are needed to achieve optimal results. During more than 15 years serving clients as a management strategy consultant, Jaime has focused on customer experience and loyalty, customer profitability, technology strategy, information management, and business process improvement.Fitzgerald Analytics is a next-generation consulting firm that combines strategic perspective with technical and analytic expertise. The firm's clients range from Fortune 500 retailers, banks, and manufacturing companies, to non-profits and social entrepreneurs. Jaime is a frequent speaker on the topic of turning data into results using analytics, data management, technology, and process innovation.
Content
Preface: A crucial moment in the history of technology, data, and decision making
Section 1: A Framework to Convert Data to Dollars
1. Turning Data into Dollars using Analytics: Why It Matters More Than Ever
2. How did we get here?
3. Defining the challenges
4. A methodology to overcome the challenges
5. What does it take to apply the methodology?
6. Case Studies
Section 2: Putting the Data to Dollars Methodology into Practice
7. The Data to Dollars (TM) Value Chain Methodology
8. Opportunity Identification
9. Insight + Analysis Requirements
10. Data Requirements
11. Defining the Required People, Processes and Technologies
12. Project Planning
13. Executing Analysis
14. Using the Output of Analysis
15. Onward and Upward: Growing Your Return on Data Analytics
Appendix
Section 1: A Framework to Convert Data to Dollars
1. Turning Data into Dollars using Analytics: Why It Matters More Than Ever
2. How did we get here?
3. Defining the challenges
4. A methodology to overcome the challenges
5. What does it take to apply the methodology?
6. Case Studies
Section 2: Putting the Data to Dollars Methodology into Practice
7. The Data to Dollars (TM) Value Chain Methodology
8. Opportunity Identification
9. Insight + Analysis Requirements
10. Data Requirements
11. Defining the Required People, Processes and Technologies
12. Project Planning
13. Executing Analysis
14. Using the Output of Analysis
15. Onward and Upward: Growing Your Return on Data Analytics
Appendix