Recommended Reading

There is always so much wisdom to be shared. Here is a guide to essential reading that will continue to inform your data journey.

TitleAuthorWhy Read this Book
Capitalism Without Capital Jonathan Haskel and Stian Westlake
Collaborating with the Enemy: How to Work with People You Don’t Agree with or Like or TrustAdam KahaneKahane is an actual diplomat who has facilitated solutions to international crises. Reading his book in conjunction with Edvinsson’s Data Diplomacy provides additional perspective on the necessity for empathy and respect within organizations. 
Competing on Analytics Tom Davenport and Jeanne Harris
Data & Reality William KentIn Data & Reality, William Kent explores how we, people, make data, through a set of choices about what to represent and how to represent it. Written in the late 1970s, the book’s observations are even more important in the 21st century, as we are flooded with new and sometimes highly questionable forms of data.
Data Centric Revolution & Software Wasteland Dave McComb
Data CrushChristopher Surdak
Data DiplomacyHakan EdvinssonEdvinsson takes a look at what gets in the way of data governance programs (top down control, bureaucracy, lack of understanding about how work gets done) and suggests a cross-function, diplomatic approach to improving data in organizations. 
Data Modeling for QualityGraham Witt
Data Modeling MasterclassSteve Hoberman
Data StrategyBernard Marr
Data Strategy & The Enterprise Data Executive Peter Aiken
Digital to the Core Mark Raskino and Graham Waller
Execution – the discipline of getting things doneCassidy and Charan
Good to GreatJim CollinsIn “Good to Great” Collins researches why a few organisations outperform the market by a significant margin.  The fundamental reason is cultural – the right people on the bus with a very clear vision of the destination.
Harvesting IntangiblesAndrew J. Sherman
How to Measure Anything Doug HubbardHubbard takes a concept that many find challenging, how to quantify, and turns it on its side: any measurement is, at its simplest, a comparison. So measuring anything amounts to figuring out the appropriate comparisons and using them to learn more about the thing you want to measure. His choice to simplify the concept creates a new perspective that simplifies measurement and also shows the risks of failing to understand the assumptions built into measurement.
Information Driven Robert Hillard
Information Economics Urs Birchler and Monika Bütler
Intangibles: Management, Measurement, and ReportingBaruch Lev
Invisible Women:  Data Bias in a World Designed for MenCaroline Criado PerezPerez assesses everyday situations through the lens of gender bias  to demonstrate how assumptions about gender influence what data we collect, why we collect it, and how we interpret its meaning. In the face of claims about the value of artificial intelligence, this book gives one a reason to pause and reevaluate the risks associated with allowing machines to take biased human thinking to its logical conclusions. 
Master Data ManagementDavid Loshin 
Outside InsightJorn Lyseggen
Patterns of Enterprise Application Architecture Martin Fowler
Smart (Enough) Systems James Taylor and Neil Raden
Strategy MapsRobert Kaplan and David Norton
Telling Your Data StoryScott Taylor
The Business Value of Computers Paul Strassmann 
The Data Asset Tony Fischer
The Economics of Data, Analytics, and Digital Transformation: The theorems, laws, and empowerments to guide your organization’s digital transformation.Bill Schmarzo
The New Know Thornton May
Who Owns the Future? Jaron Lanier