Data quality management and governance

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. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

Round table: the value of big data

Learn what our round table of experts thinks of the value and significance of “big data.” Continue Reading

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• SearchDataManagement.co.UK Round table

How to manage semi-structured data

Semi-structured data is here to stay, and it offers the potential for business advantage to companies that handle and analyse it well. Mark Whitehorn has advice on how to do that. Continue Reading

By

• Mark Whitehorn, University of Dundee

IT in Europe e-zine: Data Management & BI Edition

The benefits of effective data management and business intelligence are many; so are the challenges. Get practical information and advice on data management & BI strategies in the IT in Europe ezine. Continue Reading

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• SearchDataManagement.co.UK staff

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. Continue Reading

By

• Jessica Twentyman

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. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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. Continue Reading

By

• Mark Whitehorn, University of Dundee

Ensure data quality management during integration

Data quality management is the first and crucial step to data integration. Here are some tips to help maintain the data quality in your organization. Continue Reading

By

• Bijoy Abraham, Contributor

Should I use data deduplication to manage unstructured data?

Absolutely; there are two areas where data deduplication, or single-instance storage, can help... Continue Reading