Why Data Quality Is Imperative for Advancing Analytics
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, December 13, 2023
Time: 12:00 p.m. PT / 3:00 p.m. ET
A mature data quality practice is necessary for data and analytics professionals trying to advance their data and analytics ecosystems. Yet according to TDWI research, data quality is still an issue for organizations. In a recent survey, for instance, about half of the respondents were either dissatisfied with or on the fence about their organization’s data quality. Issues revolve around ensuring data integrity, keeping data fresh, and building trusted data assets in evolving data environments—often hybrid environments. These issues become even more complex as organizations begin to collect and analyze more complex data types such as unstructured data.
Successful data quality practices involve data quality management as well as organizational engagement with proper roles and processes in place. You need the right tools and platforms to support data quality as well as to ensure data governance and security. Join experts from Informatica and Microsoft as they discuss what it takes to ensure data quality, data governance, and data security. Topics include:
- The current state of data quality
- Platforms that enable better data quality for data management and analytics
- The role of AI in enabling data quality
Fern Halper, Ph.D.