Managing Blind: A Data Quality and Data Governance Vade Mecum

By Peter Benson
$9.99 Rating: Not yet rated.
Published: Aug. 02, 2012
Words: 30,149 (approximate)
Language: English
ISBN: 9781476045399

Short description

Companies and countries run on data but rarely question its origin, accuracy or significance, until something goes wrong. From the larger lost satellite to the smaller annoyances of badly worded forms, it all comes down to data. This short book provides a unique insight into the real value of data and how a simple understanding of data quality can be a truly enlightening and profitable experience.

Extended description

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 .. (Read more) 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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Tags

glossary, truth, ecommerce, procurement, data, crm, dictionary, standards, nato, provenance, ontology, risk analysis, trustworthy, erp, transparent, classification, supply chain, electronic commerce, mdm, taxonomy, transparency, accuracy, data quality, data governance, iso 8000, data cleansing, data cleaning, unspsc, eotd, eccma, master data, iso 22745, portable data, material master, vendor master, spend analysis, managing risk, accurate, technical description, marketing description, address correction, verification, duplicate resolution, part standardization, mro, srm, pim

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