2015 CreatingaDataDrivenOrganization
- (Anderson, 2015) ⇒ Carl Anderson. (2015). “Creating a Data-driven Organization.” " O'Reilly Media, Inc.".
Subject Headings: Data-Driven Organization, Data-Driven, Organizational Process, Organizational Capability.
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Abstract
What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.
Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models - from data collection and analysis to the insights and leadership that drive concrete actions. You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential.
Table of Contents
Chapter 1 - What Do We Mean by Data-Driven?
Data Collection
Data Access
Reporting
Alerting
From Reporting and Alerting to Analysis
Hallmarks of Data-Drivenness
Analytics Maturity
Overview
Chapter 2 - Data Quality
Facets of Data Quality
Dirty Data
Data Provenance
Data Quality Is a Shared Responsibility
Chapter 3 - Data Collection
Collect All the Things
Prioritizing Data Sources
Connecting the Dots
Data Collection
Purchasing Data
Data Retention
Chapter 4 - The Analyst Organization
Types of Analysts
Analytics Is a Team Sport
Skills and Qualities
Just One More Tool
Chapter 5 - Data Analysis
What Is Analysis?
Types of Analysis
Chapter 6 - Metric Design Metric Design Key Performance Indicators
Chapter 7 - Storytelling with Data
Storytelling
First Steps
Sell, Sell, Sell!
Data Visualization
Delivery
Summary
Chapter 8 - A/B Testing
Why A/B Test?
How To: Best Practices in A/B Testing
Other Approaches
Cultural Implications
Chapter 9 - Decision Making
How Are Decisions Made?
What Makes Decision Making Hard?
Solutions
Conclusion
Chapter 10 - Data-Driven Culture Open, Trusting Culture Broad Data Literacy Goals-First Culture Inquisitive, Questioning Culture Iterative, Learning Culture Anti-HiPPO Culture Data Leadership
Chapter 11 - The Data-Driven C-Suite Chief Data Officer Chief Analytics Officer Conclusion
Chapter 12 - Privacy, Ethics, and Risk
Respect Privacy
Practice Empathy
Data Quality
Security
Enforcement
Conclusions
Chapter 13 - Conclusion
Appendix On the Unreasonable Effectiveness of Data: Why Is More Data Better? Nearest Neighbor Type Problems Relative Frequency Problems Estimating Univariate Distribution Problems Multivariate Problems
Appendix Vision Statement
Value
Activation
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2015 CreatingaDataDrivenOrganization | Carl Anderson | Creating a Data-driven Organization | 2015 |