We have shifted our focus from governing data when an initiative is complete, to beginning data governance during the design phase of the software development lifecycle. We walk with our development teams to ensure that governance is baked into the plan, not an afterthought. We determine the level of governance that is needed for new data products during design. This ensures that the development teams are not surprised by our governance requirements, reducing remediation, and improving the quality of the data products from their inception.
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January 2025: Have your Data Quality Cake and Eat It Too (with AI)
In this information-packed session, Data Quality Practitioner, Dan Myers (DQMatters) will provide an update on the state of data quality in the industry based on his 9-year running survey published in November 2024. Then he’ll explain how an industry standard set of dimensions of data quality (the cake) enables consistent communication between data professionals. Dan will demonstrate how to leverage two free AI tools that can help junior team members improve data quality (eat the cake). It isn’t a panacea, but you’re at a disadvantage to ignore these tools.
September 2024: Semantic Layer Architecture
This session will present case studies that take a deep dive in the technical architecture of a Semantic Layer, exploring the components that enable semantic capabilities, such as metadata management, data catalogs, ontology/knowledge graphs and AI infrastructure. The presentation will emphasize how these components interconnect organizational knowledge and data assets, enhancing systems like recommendation engines and semantic search and explore the top three common approaches we are seeing at play in order to weave this data and knowledge layer into the fabric of enterprise architecture, highlighting the applications and organizational considerations for each.
October 2023: Benefits of Top-down Data Modeling
In this presentation we will explore the benefits of top-down modeling approaches and emphasize the value of top-down modeling in data warehousing and highlight the importance of ontologies. We will discuss “why” top-down models should be considered, “how” to develop these models and apply it to your data warehousing initiatives.
September 2023: Accelerating Trusted Cloud Adoption with CDMC
Across all industries, firms are embracing cloud technologies to advance their digital transformation and business strategies. Yet there is a gap in understanding and applying the optimal data management capabilities required for successfully migrating and managing sensitive data in the cloud, and leveraging the cloud for data enablement to drive business value across the enterprise.
To address this issue, the EDM Council formed the Cloud Data Management Capabilities (“CDMC”) working group. The CDMC working group was managed by the EDM Council and co-chaired by Morgan Stanley and LSEG, with participation from the world’s top Cloud Service Providers (CSPs) AWS, Microsoft Azure, Google Cloud, IBM and 100+ leading cross-industry firms. CDMC v1.1 was released September 2021 and is now available to all companies and establishes a data risk governance and control framework for cloud, multi and hybrid cloud environments.