How-to Trust Data for Data Executives - Data Quality

This webinar emphasizes data quality's significance for executives, exploring concepts, challenges, and stakeholder engagement, illustrated through a Cash in Transit case study, and addressing data governance and preventative measures. Find our training offerings here: https://modelwaresystemsse.wixsite.com/cdmp-certification Please join our Meetup Group to be notified of upcoming webinars: https://www.meetup.com/DAMA-SA-Data-Management-Meetup/ Connect with us on LinkedIn to avoid missing any upcoming events! Howard Diesel LinkedIn: https://www.linkedin.com/in/howarddiesel-cdmp-dmbok-modelwaresystems/ Modelware Systems LinkedIn: https://www.linkedin.com/company/modelware-systems Join our Data management community here: https://the-data-hive.mn.co/share/w_sdmogS6w4tKJo4?utm_source=manual OR Email Debbie: [email protected] 00:00:00 Importance of Data Quality for Data Executives 00:03:11 Overview of Data Quality Concepts and Principles 00:06:44 Dimensions, Data Quality, and Roles in Data Management 00:09:34 Importance of Executives' Understanding of Data Quality 00:12:08 Importance of Data Quality and its Impact on Business Strategy 00:15:37 Data Strategy and Data Quality 00:19:12 Importance of Data Quality and Decision Making 00:22:34 Notes on Data Quality 00:29:42 Case Study for Caching Transit 00:30:55 Cash and Transit Service Analysis 00:34:10 Observations on company operations and value distribution 00:37:56 Challenges with Data Quality and Location Identification 00:40:42 Data Quality and its Impact on Business Decisions 00:44:54 Importance of Business Decisions and the Role of Business vs. IT 00:47:15 The Importance of Data Quality and Getting Stakeholder Buy-in 00:50:20 The Importance of Data Quality and Measuring Business Impact 00:53:50 Evaluating the Impact of Data Quality on Business 00:57:08 Data Quality and Governance Considerations 01:00:56 The Impact of Incomplete and Dirty Data on Decision Making 01:03:55 Impact of Reporting Tool Issues and the Importance of Preventative Measures African Data Management Community Forum 2021-10-07 #dataqualitymanagement