Overruns, account errors, audits, theft, missing inventory, overtime pay, employment discrimination, government regulations, and compliance rules. 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?
Claudia Imhoff will discuss 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. These include data lineage, impact analysis and data profiling. 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 that supports a data stewardship strategy can minimize the chances of finding your business on the wrong side of the road.
Sponsored by SAP
In-Depth Education and Research on All Things Data.
For 20 years, TDWI has been helping data professionals get smarter, so the companies they work for can innovate and grow faster.
TDWI advances the art and science of realizing business value from data by providing an objective forum where industry experts, solution providers, and practitioners can explore and enhance data competencies, practices, and technologies.