
Creating a Data-Driven Organization
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Intro
- 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
- Chapter 11. The Data-Driven C-Suite
- Chief Data Officer
- CDO Role
- Secrets of Success
- Future of the CDO Role
- Chief Analytics Officer
- Conclusion
- Chapter 12. Privacy, Ethics, and Risk
- Respect Privacy
- Inadvertent Leakage
- Practice Empathy
- Provide Choice
- Data Quality
- Security
- Enforcement
- Conclusions
- Chapter 13. Conclusion
- Further Reading
- Analytics Organizations
- Data Analysis & Data Science
- Decision Making
- Data Visualization
- A/B Testing
- Appendix A. 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 B. Vision Statement
- Value
- Activation
- Index
- About the Author
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.