About This Webinar
Aired Live on: November 30, 2017 @ 11:30 am ET
This webinar launches our new Applied Data Governance series. For the first webinar we focus on the role of the business steward who is managing business glossaries, on their collaboration with other members of the data governance team and on the business value delivered as a result of their work improving the quality and understandability of business data.
Who Should Attend: Enterprise Architects, Solution Architects, Data Architects, Chief Data Officers and Chief Information Officers, Data Governance Project and Program Managers, Data Stewards, Data Quality Managers, IT Implementers, Business Intelligence Program Managers and Data Warehousing Program Managers.
In this webinar, we will describe and demonstrate the following activities:
- How to manage data governance responsibilities based on your role
- How to collaboratively agree on definitions of business terms
- How to add a new workflow to support data governance activities
- How to take advantage of TopBraid EDG’s ability to automatically create connections between technical metadata and business terms
More on the Presenters:
Jesse Lambert is a Semantic Solutions Architect at TopQuadrant and has over a decade of experience in applying Semantic Web technologies. He is currently supporting a large, public financial institution with their integration of TopBraid EDG into a semantic search pipeline that enables business users and eliminates data stovepipes.
Jack Spivak is a Semantic Solutions Architect at TopQuadrant. He performs solution requirements, architecture analysis, design, and semantic model-driven application development on TopBraid EVN and the TopBraid platform, especially in the areas of ontology development, custom and standardized controlled vocabularies and the relationships between these. Jack came to TopQuadrant in 2013.
About our Applied Data Governance Series
Data governance can mean different things to different organizations and to different people within an organization. What is essential is that it delivers value by aligning management of data with an organization’s uses of data to achieve its business goals. To accomplish this, there is a lot to know and do – from data profiling and dictionaries to policies and processes and everything in between. As a result, applied data governance requires practical, day-to-day integration of top-down, bottom-up and middle-out processes and capabilities. Effective end-to-end data governance is only possible through such integration. Many roles within a company deliver or derive business value as a result of data governance, often in collaboration with each other. In the series we will focus on the various aspects of applied data governance as performed and experienced by different stakeholders, and the connections between them.