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RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Using Data Automation to Ensure Quality and Trust in Your Analytics System

Webinar Speaker: David Stodder, TDWI Research Fellow

Date: Thursday, October 31, 2024

Time: 9:00 a.m. PT/ 12:00 p.m. ET

Enterprises rely on robust data quality management (DQM) practices to address challenges and seize strategic and operational advantages in today’s business environment. Yet in TDWI research, we typically see that only 50% of respondents are satisfied with the quality of their data and TDWI assessments in this area put organizations midway through their data quality journeys.

Poor-quality data impacts analytics and AI efforts by leading to inaccurate models and unreliable insights and can also stifle innovation and the development of effective applications. Poor data quality also undermines governance by making it difficult to ensure accurate, consistent data for decision-making and compliance with regulatory standards. To ensure data quality and build trust, organizations must consider five key points. These include roles and responsibilities, data quality management, implementing development standards, and using tools and platforms that support data quality and data governance.

Join this TDWI webinar with TDWI research fellow David Stodder and Paul Watson-Gover from WhereScape to learn more about these points and best practices for data quality success. Topics include:

  • Who is ultimately responsible for data quality?
  • The role of automation in data quality management
  • Ensuring standards are followed
  • Creating confidence in the data

Guest Speaker

Paul Watson-Gover
WhereScape

Paul has been working in BI and Data Warehousing for over 25 years with almost 20 of those years spent delivering data warehouse solutions with WhereScape’s software across a broad range of database technologies and utilizing a range of different Data Warehouse methodologies. Whilst certified in Dimensional Modelling, Data Vault and Data Vault 2.0 Paul wholeheartedly embraces a pragmatic rather than dogmatic approach to building a Data Warehouse that is driven by a passion for ensuring that the customer gets what they need, when they need it.

David Stodder


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