Managing Blind: A Data Quality and Data Governance Vade Mecum

The literal translation of the Latin vade mecum is "go with me", a small reference book that you carry with you. Managing Blind is a small, easy to read guide to the real life challenges of data quality and data governance. With over thirty years of experience working in six of the seven continents (he has not made it to Antarctica yet) and across a wide range of industries from agriculture, mining, manufacturing, processing, transportation, banking, finance, insurance, and healthcare, Peter has come to recognize that while the scale of the challenges and opportunities may vary, the fundamental characteristics of data quality are the same.

Can you imagine how much attention you would have received if you had proposed a data quality or data governance program twenty years ago? Yet by the late 80's it was already clear that all was not well in the data world. Can you imagine a hotel chain using your social security as your rewards membership number, yet a very well known hotel chain did exactly that for many years? While the Y2K bug never materialized, by the turn of the century more and more businesses were now totally reliant on their computer systems and the cost of missing or incorrect data was being measured in the millions. As computer systems become interconnected and their speed increases managing blind is an increasingly risky option. As Peter explains: "The difference between an actuary and a gambler is data. The actuary promotes their ability to record and analyze data and the gambler must hide any such ability or risk being asked to leave the casino."

How would you explain the loss of $125 million in 1999 due to a simple mistake of a unit of measure, try explaining a loss of somewhere between $2 and $5 billion today because of an inability to effectively monitor risk. There is one thing we all agree on; missing or wrong data increases risk and masks opportunity. In this easy to read book, Peter draws on his unique experiences to provide an engaging insight into practical solutions that can be applied by all managers.

1112440275
Managing Blind: A Data Quality and Data Governance Vade Mecum

The literal translation of the Latin vade mecum is "go with me", a small reference book that you carry with you. Managing Blind is a small, easy to read guide to the real life challenges of data quality and data governance. With over thirty years of experience working in six of the seven continents (he has not made it to Antarctica yet) and across a wide range of industries from agriculture, mining, manufacturing, processing, transportation, banking, finance, insurance, and healthcare, Peter has come to recognize that while the scale of the challenges and opportunities may vary, the fundamental characteristics of data quality are the same.

Can you imagine how much attention you would have received if you had proposed a data quality or data governance program twenty years ago? Yet by the late 80's it was already clear that all was not well in the data world. Can you imagine a hotel chain using your social security as your rewards membership number, yet a very well known hotel chain did exactly that for many years? While the Y2K bug never materialized, by the turn of the century more and more businesses were now totally reliant on their computer systems and the cost of missing or incorrect data was being measured in the millions. As computer systems become interconnected and their speed increases managing blind is an increasingly risky option. As Peter explains: "The difference between an actuary and a gambler is data. The actuary promotes their ability to record and analyze data and the gambler must hide any such ability or risk being asked to leave the casino."

How would you explain the loss of $125 million in 1999 due to a simple mistake of a unit of measure, try explaining a loss of somewhere between $2 and $5 billion today because of an inability to effectively monitor risk. There is one thing we all agree on; missing or wrong data increases risk and masks opportunity. In this easy to read book, Peter draws on his unique experiences to provide an engaging insight into practical solutions that can be applied by all managers.

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Managing Blind: A Data Quality and Data Governance Vade Mecum

Managing Blind: A Data Quality and Data Governance Vade Mecum

by Peter Benson
Managing Blind: A Data Quality and Data Governance Vade Mecum

Managing Blind: A Data Quality and Data Governance Vade Mecum

by Peter Benson

eBook

$9.99 

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Overview

The literal translation of the Latin vade mecum is "go with me", a small reference book that you carry with you. Managing Blind is a small, easy to read guide to the real life challenges of data quality and data governance. With over thirty years of experience working in six of the seven continents (he has not made it to Antarctica yet) and across a wide range of industries from agriculture, mining, manufacturing, processing, transportation, banking, finance, insurance, and healthcare, Peter has come to recognize that while the scale of the challenges and opportunities may vary, the fundamental characteristics of data quality are the same.

Can you imagine how much attention you would have received if you had proposed a data quality or data governance program twenty years ago? Yet by the late 80's it was already clear that all was not well in the data world. Can you imagine a hotel chain using your social security as your rewards membership number, yet a very well known hotel chain did exactly that for many years? While the Y2K bug never materialized, by the turn of the century more and more businesses were now totally reliant on their computer systems and the cost of missing or incorrect data was being measured in the millions. As computer systems become interconnected and their speed increases managing blind is an increasingly risky option. As Peter explains: "The difference between an actuary and a gambler is data. The actuary promotes their ability to record and analyze data and the gambler must hide any such ability or risk being asked to leave the casino."

How would you explain the loss of $125 million in 1999 due to a simple mistake of a unit of measure, try explaining a loss of somewhere between $2 and $5 billion today because of an inability to effectively monitor risk. There is one thing we all agree on; missing or wrong data increases risk and masks opportunity. In this easy to read book, Peter draws on his unique experiences to provide an engaging insight into practical solutions that can be applied by all managers.


Product Details

BN ID: 2940044762374
Publisher: Peter Benson
Publication date: 08/02/2012
Sold by: Smashwords
Format: eBook
File size: 284 KB

About the Author

Mr. Peter Richard Benson is the Founding and Executive Director of the Electronic Commerce Code Management Association (ECCMA). The international association was founded in 1999 to develop and promote the implementation of co-operative solutions for the unambiguous exchange of information.

Peter has enjoyed a long career in data driven systems starting with early work on debugging Vulcan the precursor of what became dBase, one of the very first relational database applications designed for the personal computer market. Peter went on to design WordStar Messenger, one of the very first commercial electronic mail software applications which included automated high to low bit conversion to allow eight bit word-processing formatting codes to pass through the early seven bit UNIX email systems. Peter received a British patent in 1992 covering the use of automated email to update distributed databases. From 1994 to 1998 Peter chaired the ANSI committee responsible for the development of EDI standards for product data (ASC X12E). Peter was responsible for the design; development and global promotion of the UNSPSC as an international commodity classification for spend analysis and procurement. Most recently, in pursuit of a faster, better and lower cost method for obtaining and validating master data, Peter designed and oversaw the development of the eOTD, eDRR and eGOR as open registries of terminology, data requirements and organizations mirrored on the NATO cataloging system. Peter is also the project leader for ISO 8000 (data quality) and ISO 22745 (open technical dictionaries). Peter is recognized as an expert on the creation, maintenance and distribution of master data, and the automatic rendering of high quality multilingual descriptions from master data that are at the heart of today's ERP applications and the high speed and high relevance text search engines that we have come to depend on.

Peter is a proponent of open standards for data portability and long term data preservation. Peter works to focus international attention on open metadata and how its use in software applications protects an organization's rights to their own data as well as on the importance of data provenance, the ability to track the origin of data.

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