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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• http://scholar.google.com/scholar?q=%222015%22+Creating+a+Data-driven+Organization

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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