Premium Content

Access "Hindsight: The case of the faulty data quality process"

Published: 15 Feb 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 data. When they couldn't find ... Access >>>

Access TechTarget
Premium Content for Free.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

What's Inside


More Premium Content Accessible For Free

  • New talent management software transforming HR

    Human resources departments have long been associated with rubber stamps and reams of paper forms. But new talent management software -- technology ...

  • HTML5 rewrites the rules on website, mobile app development

    For Web and mobile application developers, advances in HTML5 mean big changes. The fifth iteration of the Hypertext Markup Language has freed ...

  • Determine if NoSQL databases are right for your organization

    NoSQL databases offer more flexible alternatives to mainstream relational software, particularly for big data applications. But NoSQL offerings ...