Wednesday, June 27, 2012

Free Download Getting in Front on Data

Free Download Getting in Front on Data

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Getting in Front on Data

Getting in Front on Data


Getting in Front on Data


Free Download Getting in Front on Data

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Getting in Front on Data

Product details

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Audible Audiobook

Listening Length: 4 hours and 38 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Technics Publications

Audible.com Release Date: October 31, 2016

Language: English, English

ASIN: B01M29REPM

Amazon Best Sellers Rank:

For anyone trying to get a handle on data quality this book offers a systematic approach and different tactics that actually make a difference. Tom has laid out a path towards better data that can be easily understood and implemented by anyone who wants to make a change. He takes a common sense approach outside of a typical “data” path that really works. Focusing on business behaviors and process is what will really make a difference. Getting to the root of the problem is the first step towards a successful journey into solving real data issues. If you don't want to be continually cleaning up data, try looking at the problem through a different lens.

In the world of federal homeless data, assuring good quality improves our efforts to seek and secure better funding. As a believer in creating frameworks to achieve excellent data quality, Dr. Tom’s book helps me think through the design models that improve resource use in nonprofit agencies seeking to build a culture of data. It not only improves data quality but increases the value of critical decision making at every level of the organization.

This book was very helpful and shared some tools and practical applications beyond replications of his HBR articles. Worth the investment if you are leading data quality or large data/change management projects.

Tom Redman’s earlier book, Data Driven: Profiting from Your Most Important Business Asset, presented the issues of Data Quality mostly from a top management perspective. This addressed the important task of getting the CEO of a company to recognize that this is a real problem, and issues of organizing the company’s efforts.His newest book, Getting in Front of Data: Who Does What, is much more detailed in addressing exactly the roles to be assumed by different players.His audiences are:1. Senior Executives – Get them interested in data. Generate enthusiasm, to be transmitted throughout the company.2. Those charged with leading the data effort – Help these leaders orient their efforts more incisively.3. Anyone who touches data in h’ job – That is, everyone who either will need data or who will produce data.Instead of addressing abstractions, like “Data Steward”, Dr. Redman’s orientation in this book is specifically towards those who create data and those who ultimately use or consume them. Specifically, it focuses first on the responsibility of the consumer to make clear just what is required—and then on that person’s responsibility to complain loudly when there are problems. Dr. Redman spends time discussing the role of “provocateur”—the man or woman who won’t rest until systematic problems are addressed.A second key role is that of the provider of data, who has the responsibility, first, to understand the requirements for data and information, and second, to conscientiously deliver against those requirements.The secret to all of this, of course is for these two parties to work together. Periodically error rates are calculated and visible to both sides.The size of large organizations sometimes makes this communication difficult. Often, when the consumer is unsatisfied, ‘e takes steps simply to correct the bad data, rather than going to the source. These steps generate a “hidden data factory”, which reduces everyone’s motivation to uncover the original problems.The book is written in a very friendly style, with a lot of examples for each point. After addressing the responsibilities of both the creators and consumers, only then does Dr. Redman take on the responsibilities of project mangers, CEOs, and the like. The definitions of the roles at this level presume the context of the creators and consumers who are doing all the work.The book includes two case studies: AT&T, after divestiture in the 1980s, trying to clean up communications between that company, as the interstate telephone company, and the local companies dealing with customers; AERA Energy, an oil company that addressed the problems of defining terms clearly and coherently. In the interest of full disclosure, your reviewer played a role in that one, so of course he must congratulate Dr. Redman for his astuteness in recognizing good work when he sees it.

I first met Tom Redman 7 1/2 years ago when he did an assessment of our data program at the global energy company where I work. We had just formed a new organization to manage data as a process and Tom came in and shared his insights about the direction we should travel. Nearly 8 years later the success we have had in delivering value to the businesses in our company by following Tom's recommendations have been nothing short of amazing. Many of these early insights can be found in his book "Data Driven". With this new book, he has done it again by bringing the most practical ideas for getting in front of data quality to the millions of employees and customers who suffer because of bad quality data. Tom has developed a unique set of new ideas and tools like "Data Provocateurs", "Friday Afternoon Measurement", "Two moments that matter", "Hidden Data Factories", and more that bring an extremely practical path to solving the data quality problem. Over the years I have met and listened to Tom at Data Conferences where one or two new ideas would be presented. I quickly took these ideas back to our company and found ways to implement them. These ideas work! This book is so valuable because it brings all of these new ideas since "Data Driven" into one place and is written in such a way that a lay person can understand them. He has demystified data quality and simplified the approaches to making real progress. This is a must read book for anyone who is trying to figure out where to start on their data journey. IBM recently estimated that poor quality data costs over $3 trillion dollars a year in the US alone. This book will help all of us begin to reclaim those wasted dollars.

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Getting in Front on Data PDF

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Getting in Front on Data PDF
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