In today’s data-driven environment, reliable data quality management (DQM) is critical for organizations striving to gain a competitive edge. Yet, research from TDWI reveals that only 50% of enterprises are satisfied with the quality of their data. This gap presents a major barrier, leading to inaccurate analytics, compromised AI models, and reduced innovation.
Join WhereScape’s Paul Watson-Gover and TDWI Research Fellow David Stodder for an insightful webinar on overcoming data quality challenges using automation. Learn how organizations can improve data quality management and establish trust in their analytics systems.
In this webinar, we’ll cover:
- Defining roles and responsibilities in data quality management
- The impact of automation on data quality
- Implementing effective development standards
- Ensuring compliance and consistency in data governance
- Building confidence in your data for better decision-making
Don’t miss this opportunity to enhance the quality of your data and the effectiveness of your analytics.
