Hands-on experience with data catalog elements before engaging vendors allows for a deeper understanding of the organization's needs, aiding in alignment with stakeholders and tool selection. This presentation highlights the value of initiating a data governance program using a clear strategy and the crucial role of appropriate mental models. The presentation underscores the need to demonstrate small-scale success to build trust for future projects. Lastly, it stresses the importance of a clear vision of success for efficient tool suitability and vendor assessment.

• Hands-on experience with data catalog elements enhances understanding of organizational needs and aids in tool selection.
• Initiating a data governance program, even with minimal experience, is valuable.
• A shift in company culture and company-wide support is crucial for any data governance program.
• Demonstrating small-scale success builds trust for future projects and a clear vision of success guides tool suitability and vendor assessment.

Speaker: Sharazion Hughley

Sharazion Hughley is a highly accomplished professional with a strong background in Info Systems & Tech, data management, and supply chain management. She has been a valuable member of the INVISTA team since 2007, playing a significant role as a leader in the IT organization, managing teams that support ERP for Customer Service, Supply Chain, and Projects. In these roles, Sharazion has functioned as both Product Owner and Scrum Master, leading teams in executing run and maintain activities, enhancements to existing functionality, and new projects. She is currently serving as a Product Implementation Manager for the Master Data Management team. Sharazion has demonstrated her expertise by successfully leading global implementation projects in data management utilizing the Agile Methodology Scrum. Sharazion is driven by her passion to transform organizational governance culture, skillfully navigating the balance between principles-based approaches and the necessary discipline required to maximize the value of data as a prized asset.