Data quality management and governance

Unilever enterprise data warehouse locked to business programmes

Unilever is building a global enterprise data warehouse (EDW) locked into the critical paths of high-profile business programmes. Continue Reading

By

• Lindsay Clark

West Midlands Police develops golden view of criminals, suspects

West Midlands Police, the second largest force in the UK, seeks to reduce risk to its officers and the public by using DataFlux software that gives a master record for criminals and suspects. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

Big data advice from big names, Coca-Cola and Lastminute.com

Coca-Cola's chief privacy officer and Lastminute.com's innovation head offer advice on data privacy at Big Data Europe Continue Reading

By

• Brian McKenna

Practical Data Migration: PDMv2

Data Migration expert Johny Morris, explains how organisations can use the PDMv2 methodology to overcome common data migration problems. Continue Reading

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From the Editor: Big data arrives, but plagued by governance challenges and skills shortage

Big data offers big opportunities, but governance challenges and skills shortages could pose big problems. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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”. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

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

By

• 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

By

• 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