Page 8 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat
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Contents
About the Authors xv
Preface xvii
About the Companion Website xxi
1 A Higher Calling 1
The Life‐Cycle View 2
Problem Elicitation: Understand the Problem 3
Goal Formulation: Clarify the Short‐term and Long‐term Goals 3
Data Collection: Identify Relevant Data Sources and Collect the Data 3
Data Analysis: Use Descriptive, Explanatory, and Predictive Methods 3
Formulation of Findings: State Results and Recommendations 4
Operationalization of Findings: Suggest Who, What, When, and How 5
Communication of Findings: Communicate Findings, Decisions, and Their
Implications to Stakeholders 5
Impact Assessment: Plan and Deploy an Assessment Strategy 5
The Organizational Ecosystem 6
Organizational Structure 6
Organizational Maturity 6
Once Again, Our Goal 6
2 The Difference Between a Good Data Scientist and a Great One 9
Implications 11
3 Learn the Business 13
The Annual Report 13
SWOTs and Strategic Analysis 13
The Balanced Scorecard and Key Performance Indicators 14
The Data Lens 15
Build Your Network 16
Implications 16
4 Understand the Real Problem 17
A Telling Example 17
Understanding the Real Problem 18
Implications 19
