Data Driven: Profiting from Your Most Important Business Asset

by Thomas C. Redman

Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making.

In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author

· The special properties that make data such a powerful asset

· The hidden costs of flawed, outdated, or otherwise poor-quality data

· How to improve data quality for competitive advantage

· Strategies for exploiting your data to make better business decisions

· The many ways to bring data to market

· Ideas for dealing with political struggles over data and concerns about privacy rights

Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Genres: Business, Nonfiction

272 pages, Hardcover

First published August 19, 2008

Reviews

[Geoffrey Pidcock]

This book offers a lot of solid guidance on data quality management and product development from a seasoned expert with 30 years experience. Judging by the number of bookmarks, chapters three (assessing and improving data quality) and chapter four (making decisions) were the best value, and chapter six (bringing data to the market place) was the weakest. The book ends with a nice 100 day plan bringing it all together. Overall, a great introductory text to data quality management, and potentially a solid reference for a formal project.

[rohan amin]

This is a must read for all Data Strategist out there!

[Anna Wilson]

Old but still relevant, best practices have not changed and are still largely not implemented effectively

[Mussa Taha]

Good place to start learning about data science issues.

[Roy]

This would be a nice primer on the value of data for a C-level executive who is clueless. Also, useful for me in prepping my data governance evangelism to C-level execs who are clueless!

[E]

Practical, straightforward information management manual

This is a highly readable, thorough, credible guide to the principles of data management. Author Thomas C. Redman covers all the bases, showing readers how to improve data quality, use data to make better decisions and establish management systems that will help nearly any company get the most from its data. Few business subjects have been more abused than data management; a common misconception consigns data management to the IT department. The author shows why the data is, most appropriately, a line rather than a staff responsibility. getAbstract recommends it highly to those whose business may live or die based on the quality of its data management – and that may be your company, whether you realize it yet or not.

[Abner Huertas]

¿Qué aprendí de este libro? La información es el activo más importante para una empresa.
Muchas empresas aún no han visualizado el potencial para la toma de decisiones que tiene la información; por ello le prestan poca importancia a su mantenimiento, y en especial, a la calidad con la que se recopila.

[Liz]

Re-read after starting a new job. There are good fundamentals in here, but otherwise felt very dated. Likely not helpful to anyone who started their careers in the 2010s because all the examples are from the 1990's and early 2000's.

[Dedrick]

My reason for buying this book was to see how it might help with website content management. From that perspective, I found this book very insightful. It will help me greatly.

[Douglas Haugh]

If you are struggling with how to focus on the right things to fix this is a good place to start figuring that out.

[David]

Kinda ok. Good intro book to business perspective of data/info and data management. I expected more of an analytic-driven and bit more technical book. Guessed wrong. Skimmer.

[Gaurav]

Fails to deliver what the title suggests..

[Shelby Elizabeth]

A strong intro to data quality concepts. If you're looking to improve the quality of your business' data, this is a good place to start.

[A Ter]

Pretty dated at this point, but some good general points