News
Data quality management and governance
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January 11, 2012
11
Jan'12
European river managers delve into new knowledge management system
The UK’s Environment Agency has procured a semantic wiki based knowledge management (KM) system to aid river restoration across Europe.
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November 07, 2011
07
Nov'11
Shell HR gains from structured information quality programme
Oil giant Shell’s human resources function has been on an information quality journey since 2002, integrating historically decentralized businesses into one assured talent pool.
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October 17, 2011
17
Oct'11
Larry English calls for an information quality revolution
Larry English, in an interview, calls for an information quality revolution that will put the customer first. New rules are necessary for the “information age 3.0”.
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October 14, 2011
14
Oct'11
BBC evolves digital asset management with Life
The BBC’s Life series marked an ongoing shift from film to digital media that is making the need for rigorous metadata and digital asset management in broadcast media more pressing.
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August 12, 2011
12
Aug'11
Data quality improvement impeded by lack of automation
Data quality improvement has boosted revenue at 12% of a sample of UK companies. Progress impeded by poor automation, says research from QAS: 42% use Excel spreadsheets to detect data quality issues.
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August 03, 2011
03
Aug'11
Round table: the value of big data
Learn what our round table of experts thinks of the value and significance of “big data.”
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June 08, 2011
08
Jun'11
Data governance framework seen as bedrock of airline MDM strategy
Data governance emerges as a prerequisite for a sustainable, long-term master data management strategy.
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April 21, 2011
21
Apr'11
Volkswagen creates common data services in pursuit of car industry pole position
Volkswagen’s common data services approach is crucial to the IT-enabled transformation of its five businesses.
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March 21, 2011
21
Mar'11
When data goes bad: how data quality analysis can fix problems
How can data quality be improved for business benefit? Data quality is complex, and thrown into relief by the pressing requirement for analysis. Learn how to clean it up through data quality analysis.