T3: Danger, Danger! Bad Data Ahead!

Sarbanes-Oxley, Basel II, the USA PATRIOT act, the EU Directive on Data Protection. Enron, MCI/WorldCom, Parmalat, Barings Bank. Overruns, account errors, audits, theft, missing inventory, overtime pay, employment discrimination. Any and all of these explain why data quality is critical to a business. More expansive reporting requirements and data privacy restrictions require more thorough and accurate data management. Corporate fraud and mismanagement, either hidden by lax data control policies or caused by reliance on inaccurate data, wreak havoc in the marketplace. Everyday profitability and competitive advantage are challenged by inaccurate, untimely and unavailable data.

What can you do? What should you do?

Join Claudia Imhoff for a discussion of the risks and consequences of relying on poor-quality data. Learn ways to measure and monitor your data quality to determine if you're satisfying your data quality requirements. Find out how you can identify and encourage data accountability company-wide. High-quality data is no guarantee that you'll be safe from all the dangers of fraud and mismanagement, but an effective data management policy can minimize the chances of finding your business on the wrong side of the road.

After attending this seminar, you'll understand:

• The challenges and benefits of data quality programs
• How to create a data quality program
• The processes and steps within each process for improving the quality of data
• The roles and responsibilities of the data quality function
• Learn what tools and solutions are available to solve data integration challenges
• Discover how to identify the true state of corporate data and how to integrate enterprise data onto a single, reliable platform