The Data Asset: How Smart Companies Govern Their Data for Business Success

by Tony Fisher

An indispensable guide that shows companies how to treat data as a strategic asset Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers
Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.

240 pages, Hardcover

First published June 15, 2009

Reviews

[Phil Simon · Rating 5 out of 5]

As a long time veteran of IT projects, I can claim without fear of accurate contradiction that the concepts Fisher's books are imperative for organizations to grasp. Before beginning new projects, senior managers would be wise to read a copy of this book. I have seen far too often projects derailed because data management was, quite frankly, an afterthought.

But the book doesn't stop there. Fisher details steps that organizations in all phases can take to improve their data quality and, ultimately, successfully effect a culture of data governance.

Rife with a wide array of examples from many different industries and types of systems, The Data Asset is a blueprint for unlocking the potential of organizational data. I can't recommend it highly enough.

[Ravi · Rating 4 out of 5]

A simple guide to understand the different levels of data governance maturity model, and the steps to be taken to progress from one stage to the next on the way to becoming a data governed organization. As a data business analyst, I've certainly identified my current level and limitations, and gained some knowledge.

[John Dohanich · Rating 4 out of 5]

Fisher speaks much of cleaning data so it is useable. Consolidating the raw data into things that can acutlaly be used and manipulated to gain better insights. He also goes about answering the how that is needed to implement such a culture shift.