In this session, attendees will learn best practices in implementing data governance plans, tools, and frameworks based on the presenters' experiences in creating these strategies for multiple enterprise-scale institutions. These methods and approaches will allow attendees to understand how to apply governance at their own organization in order to enable access and management of data that is highly contextualized to their consumers' and customers' needs. At the end of this presentation, viewers will have the information necessary to engage executive stakeholders in applying governance at an enterprise scale. Examples will also be provided on how to achieve buy-in at an organizational level to invest in governance tools and processes, and what the expected outcomes and return on investment should be. The examples demonstrated during this presentation will be provided from multiple enterprise-scale project implementations but can be applied to any organization, and real-world results will be demonstrated from the five following areas:

• How Leading Organizations are Benchmarking Their Data Governance Maturity
• Why End-User Training was Imperative in Seeing Scaled Governance Program Adoption
• Which Tools and Frameworks were Critical in Getting Started with Data Governance
• How Organizations Achieved Success with Data Governance in Under 12 Weeks
• What Successful Data Governance Implementation Roadmaps Really Look Like

Speaker: Thomas Mitrevski

Senior Consultant, Enterprise Knowledge

Thomas is a highly qualified Senior Data Management and Governance Consultant who has demonstrated the ability to consistently scale business processes, foster engagement and create accountability for data. He possesses an uncanny ability to solve data problems through policy development, process reengineering, and technology solutions. Thomas has over 8 years of experience in working with business unit leaders to create implementable goals and roadmaps, foster organization and teamwork amongst several multinational development groups, and deliver technical solutions that facilitate sales, mitigate risk, and encourage business growth. He also has extensive experience deploying enterprise metadata management programs, with solutions in both multi-cloud and on-prem environments, including natural language search and machine learning in support of taxonomy and ontology development. Finally, he also focuses on program development in areas such as data architecture, data catalogs, metadata management, and data analytics.

Speaker: Lulit Tesfaye

Partner and Vice President, Knowledge & Data Services, Enterprise Knowledge, LLC.

Lulit Tesfaye is a Partner and the VP for Knowledge & Data Services and Engineering at Enterprise Knowledge, LLC., the largest global consultancy dedicated to Knowledge and information management. Lulit brings over 15 years of experience leading diverse information and data management initiatives, specializing in technologies and integrations. Lulit is most recently focused on employing advanced Enterprise AI and semantic capabilities for optimizing enterprise data and information assets.