Disposition
Fact-Based Decision Making
Reliance on objective data and rigorous analysis as the primary guide to decisions across all organizational levels, using intuition only where appropriate.
Taught in these guides
Grounded in
Books cited by the guides that teach this. The ones cited by more than one are where the field agrees.
- Analytics at Work: Smarter Decisions, Better Results · Thomas H. Davenport, Jeanne G. Harris, Robert Morison2 guides
- An Introduction to Statistical Learning: with Applications in R · Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Big Data_ A Very Short Introduction (Very Short Introductions)
- Big Data: A Revolution That Will Transform How We Live, Work, and Think · Viktor Mayer-Schönberger, Kenneth Cukier
- Business Intelligence and Big Data · Celina Olszak
- Business Intelligence Guidebook: From Data Integration to Analytics · Rick Sherman
- Competing on Analytics: The New Science of Winning · Thomas H. Davenport, Jeanne G. Harris
- Data Mining for Business Analytics: Concepts, Techniques, and Applications · Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl Jr.
- Data Science Bookcamp_ Ten case studies MEAP V01
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking · Foster Provost, Tom Fawcett
- Data Science from Scratch: First Principles with Python · Joel Grus
- Data Smart: Using Data Science to Transform Information into Insight · John W. Foreman
- Data Warehouse and Data Mining · Jugnesh Kumar
- Designing Data-Intensive Applications · Martin Kleppmann
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow · Aurélien Géron
- Introduction to Statistical and Machine Learning Methods for Data Science · Dr. Carlos Andre Reis Andre Reis Pinheiro etc.
- Learning from Data: A Short Course · Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin
- Machine Learning and Data Science
- Networks, Crowds, and Markets: Reasoning About a Highly Connected World · David Easley, Jon Kleinberg
- Practical Statistics for Data Scientists · Peter Bruce
- Python for Data Analysis · Wes McKinney
- R for Data Science · Hadley Wickham
- Successful Business Intelligence: Unlock the Value of BI & Big Data · Cindi Howson
- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling · Ralph Kimball, Margy Ross
What this produces
Outcomes the same guides attribute to it. These are consequences, not things to practise.
- Analytical & Knowledge Discovery Capability
- Analytical Maturity Stage
- Analytical Talent & Workforce Capability
- Analytical, Fact-Based Culture
- BI Adoption, Trust & Use
- BI/Big-Data Technology Investment & Capability
- Business Value, Performance & Competitive Advantage
- Business-IT Partnership & Alignment