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Data quality best practices

Nominate for India's Top BI Excellence Awards

Nominate for ‘BI Masterminds 2013’, India’s Top Awards for Excellence in Business Intelligence. Let your BI work be recognized.
Training sets stage for end-user role in data quality

Organizations looking to include end users in data quality improvement efforts need to invest up front in developing effective training programs.
IT fix-it approach not enough on data quality

Relying on data warehousing and integration teams to clean up data errors is a common practice. But preventing data quality problems is better than trying to cure systems of them later on.
Top-to-bottom data quality plan starts with exec buy-in

To win approval for involving business users in data quality efforts, IT managers should draw a connection between accurate data and the bottom line.

Data quality best practices

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Who should own the data governance process and framework?

Find out who should be the primary owner of the data governance process within an organization and what roles or departments should control the data governance framework. Ask the Expert
Understanding five major enterprise information management

Learn about the primary enterprise information management (EIM) benefits and five major problems EIM can help solve, including data quality, information management, process efficiency, security and organizational agility. Answer
Should we buy data quality management tools or focus on policies?

Looking improve your data quality? Data quality management tools might not be the best answer. Find out why. Ask the Expert
Data quality management pitfalls: Three common mistakes to avoid

Data quality expert David Loshin addresses three common data quality management mistakes to avoid. Read what areas to keep an eye on while implementing your data quality management initiative. Ask the Expert

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