Ask the Experts

Ask the Experts

Data quality techniques and best practices

• What level of data accuracy standards do we need for master data?

  Find out how to establish data accuracy standards and discover what level of accuracy is necessary for your organization, depending on your business and data requirements.  Continue Reading

• How to estimate customer data cleansing costs

  How much on average does it cost to clean one customer record? Do you know if there been any specific reporting or analysis done on this area of customer data quality?  Continue Reading

• Data quality management for data warehouses

  Learn how to evaluate the risks of poor data quality in data warehouses -- and how good data quality management practices help mitigate risks.  Continue Reading

• What is high quality information?

  Learn a definition of high quality information, and find out what it means for overall data quality.  Continue Reading

• Roles and salaries of data quality and governance analysts

  Learn where to go for information about the roles and salaries of data quality and data governance analysts.  Continue Reading

• 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