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
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 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 and reveals a set of challenges and indignities (the size of i-phones, the design of automobiles) that many women are aware of but that most men do not notice, because they do not have to be. She then uses this lens 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 Demon in the MachinePaul DaviesDavies, a physicist and cosmologist, has written an astonishing book about information and the role it plays in every level of our existence from the molecular level to the universal one.  Two things fascinate me – firstly, the enormity of Davies’ thought and, secondly, that we struggle to manage the information just in our own organisations.
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
Reading List for people interested in Data Management and Quality

Books, Papers, Articles & Presentations about The Leader’s Data Manifesto

Books, Papers, Articles & Presentations by Data Leaders
Data Driven Dr Tom Redman
Data Governance: How to Define, Deploy and Sustain a Data Governance ProgramJohn Ladley
Ethical Data and Information Management: Concepts, Tools and Methods Katherine O’Keefe and Daragh O Brien
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information ™Danette McGilvray
Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive AdvantageDouglas Laney
Making EIM Work for Business John Ladley
Measuring Data Quality for Ongoing ImprovementLaura Sebastian-Coleman
Navigating the Labyrinth: An Executive Guide to Data ManagementLaura Sebastian-Coleman
Why it is important to manage information as a business asset 170329 v1Dr Nina Evans & James Price
Barriers to the Effective Deployment of Information AssetsDr Nina Evans & James Price
Bad Data Costs the U.S. $3 Trillion Per YearDr Tom Redman in Harvard Business Review
Root Causes of Barriers to Information not being Managed as a Business Asset Presentation

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