Expert Panel: Maximizing the Value of Data Catalogs
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Wednesday, March 22, 2023
Time: 12:00 p.m. PT, 3:00 p.m. ET
Enterprise data catalogs are essential to overall data management and data-driven applications. They make it easier to improve data quality, encourage reuse and collaboration, and help users locate data collected from diverse sources. A catalog collects metadata and other information about how data elements are defined, modeled, and related. It also can document where the data is located.
Automation and the infusion of AI/ML have modernized enterprise data catalogs. Automation enables organizations to replace traditionally manual tasks such as populating the catalog, classifying metadata, and removing duplicates.
Learn in this TDWI Expert Panel how you can maximize the value of your data catalog. Key topics will include:
- How an enterprise data catalog can minimize risks through more effective, automated, and continuous data governance
- Trends in using AI/ML in data catalogs to scale up to handle large and diverse data volumes, extract metadata automatically, and infer missing data and relationships between data elements
- Using data catalogs to support data curation, which looks beyond static inventory and data management to increase the data’s value
Senior Director, Product Management
Peter leads the product management team for one of the product lines - data catalog. Peter was hired in 2015 (November) as the second Collibra product manager when Collibra was only 70 people strong. Prior to joining Collibra, Peter worked in product management at Nikon Metrology (formerly Metris). He was responsible for software that generated 3D models based on laser scans. This was used for dimensional quality control in automotive and aerospace industries. Peter has a master’s degree in electromechanical engineering from KU Leuven.
Senior Solutions Manager
Danny Sandwell is an IT industry veteran who has focused on maximizing value from data for more than 30 years. As senior market strategist at Quest, he is responsible for communicating the capabilities, use cases, and business value of the company’s data empowerment solutions.
During Danny’s 25 years with the erwin brand, he also has worked in consulting, solution architecture, product management, business development, and strategy roles – all giving him opportunities to engage with customers across various industries as they plan, develop, govern, protect, and deliver their enterprise data architectures and assets.
His goal is to help enterprises unlock the value of their data assets while mitigating data-related risks.