Creating a data-driven organization practical advice from the trenches
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...
| Other Authors: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Beijing, [China] :
O'Reilly
2015.
|
| Edition: | First edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629596906719 |
Table of Contents:
- ""Copyright""; ""Table of Contents""; ""Preface""; ""Summary""; ""Who Should Read This Book?""; ""Chapter Organization""; ""Conventions Used in This Book""; ""Safari® Books Online""; ""How to Contact Us""; ""Acknowledgments""; ""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 Generation""; ""Data Entry""; ""Missing Data""
- ""Duplicates""""Truncated Data""; ""Units""; ""Default Values""; ""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""; ""How Much Is a Dataset Worth?""; ""Data Retention""; ""Chapter 4. The Analyst Organization""; ""Types of Analysts""; ""Data Analyst""; ""Data Engineers and Analytics Engineers""; ""Business Analysts""; ""Data Scientists""; ""Statisticians""; ""Quants""; ""Accountants and Financial Analysts""
- ""Data Visualization Specialists""""Analytics Is a Team Sport""; ""Skills and Qualities""; ""Just One More Tool""; ""Exploratory Data Analysis and Statistical Modeling""; ""Database Queries""; ""File Inspection and Manipulation""; """"; ""Chapter 5. Data Analysis""; ""What Is Analysis?""; ""Types of Analysis""; ""Descriptive Analysis""; ""Exploratory Analysis""; ""Inferential Analysis""; ""Predictive Analysis""; ""Causal Analysis""; ""Chapter 6. Metric Design""; ""Metric Design""; ""Simple""; ""Standardized""; ""Accurate""; ""Precise""; ""Relative Versus Absolute""; ""Robust""; ""Direct""
- ""Key Performance Indicators""""KPI Examples""; ""How Many KPIs?""; ""KPI Definitions and Targets""; ""Chapter 7. Storytelling with Data""; ""Storytelling""; ""First Steps""; ""What Are You Trying to Achieve?""; ""Who Is Your Audience?""; ""What's Your Medium?""; ""Sell, Sell, Sell!""; ""Data Visualization""; ""Choosing a Chart""; ""Designing Elements of the Chart""; ""Delivery""; ""Infographics""; ""Dashboards""; ""Summary""; ""Chapter 8. A/B Testing""; ""Why A/B Test?""; ""How To: Best Practices in A/B Testing""; ""Before the Experiment""; ""Running the Experiment""; ""Other Approaches""
- ""Multivariate Testing""""Bayesian Bandits""; ""Cultural Implications""; ""Chapter 9. Decision Making""; ""How Are Decisions Made?""; ""Data-Driven, -Informed, or -Influenced?""; ""What Makes Decision Making Hard?""; ""Data""; ""Culture""; ""The Cognitive Barriers""; ""Where Does Intuition Work?""; ""Solutions""; ""Motivation""; ""Ability""; ""Triggers""; ""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""
