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Hindsight: The case of the faulty data quality process
This article is part of the Business Information issue of February 2013
A few years ago, the finance department of a major telecommunications company turned over its fixed asset record ledger -- an official accounting of property such as cell towers -- and a $5 billion budget sheet to independent auditors, who found discrepancies in the company's data that pointed to possible problems in its data quality process. The project: Chris Levitt, a member of the Technology Business Management Council, a nonprofit organization that makes recommendations for best IT practices and benchmarks, was an IT risk manager for a consultancy at the time. He was brought in to lead a team of technicians and evaluators to find the gaps between the telecom's actual assets and what was documented in the ledger. The evaluators sifted through the ledger data, comparing what was recorded with a master list of the company's property and identifying areas that didn't match up. In some cases, the amount the company paid for an asset and its depreciated value were missing, sending the team members back to the original contract ...
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Features in this issue
The inaugural issue of Business Information magazine explores mobile business application use in business, a call for leadership on BI teams, Oracle’s new release and more.
Although the use of mobile applications is growing rapidly in businesses, IT managers don't expect mobile devices to oust PCs from the workplace.
Making corporate data available on mobile devices calls for careful management to keep business users from going down wrong paths in using the info.
Data virtualization technology is playing a larger role in the data integration market, and it has the explosion of data types and sources to thank.
The discovery of discrepancies in a telecom company's data led to a realization that more robust procedures for ensuring data quality were needed.
No doubt you've heard the term social media analytics -- it's the gathering and exploring of social media data. Do you need to invest now? It depends.
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