Ask the Experts

Ask the Experts

Data quality techniques and best practices

• How to maintain data quality and provide high quality information management and analysis

  Data quality and governance expert David Loshin says maintaining data quality and providing high quality information management and analysis are based on a mutual data governance model.  Continue Reading

• 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.  Continue Reading

• Data governance: Tips for techies and managers

  Craig Mullins breaks down the top three things IT techies and business managers should know about data governance.  Continue Reading

• Data cleansing: The business impact of dirty data

  Look at the business impact of leaving less-than-ideal data in place to help you determine what data should be cleansed.  Continue Reading

• Data quality management begins with data governance

  Data quality management begins with data governance -- that means having the right strategy, people and application.  Continue Reading

• Data governance: How to maximize data stewardship

  Data governance expert Craig Mullins outlines how to achieve effective data stewardship.  Continue Reading

• Data quality management: Building the business case

  Building a business case for improving data quality management can be challenging. Get tips on building a business case from data quality expert, Craig Mullins.  Continue Reading

• The Clinger-Cohen Act and enterprise risk management

  The Clinger-Cohen Act (CCA) is Congress's legislative response to overseeing enterprise risk management. Should non-governmental businesses voluntarily adopt the Clinger-Cohen Act?  Continue Reading

• Data governance initiative: Strategic planning

  To ensure optimal success in a data governance initiative, expert Craig Mullins outlines the responsibilities required of individuals within the strategic, tactical and execution levels of the project.  Continue Reading