MDM for Agile Enterprise

This presentation will illustrate a few notable use cases, decisions made, and lessons learned, while enhancing existing master data management capabilities. It’s based on the presenter’s hands-on experience managing and serving as a business systems analyst on numerous master data management projects. The work involved multiple business functions, sometimes with conflicting goals and priorities, and different IT teams responsible for heterogeneous systems and following different project methodologies, such as waterfall and scrum. The background for these use cases includes building self-service enrichment capabilities, defining alternate hierarchy in customer master and rolling out enterprise reference data. Attendees will hear about some of the lessons learned:

Listening to understand pain points
How to make architectural decisions contribute to business value
Master data and reference data – differences in implementation
Agility and governance

An IT professional with over 30 years of experience at high-tech companies in Silicon Valley, Luda Shuster has worked as a developer, program manager, application architect and business systems analyst. For the past 11 years, she has served as a Master Data Management Analyst. Ms. Shuster has led and participated in multiple enterprise-wide projects that have enhanced MDM capabilities and integrated MDM with other enterprise systems. Her background includes work enhancing customer hub, implementing data quality tools, rolling out reference data, and implementing third-party enrichment. Ms. Shuster has spoken about MDM implementations at Oracle Open World (2010), Enterprise Data World (2015), and MDM & Data Governance Summit San Francisco (2015). She received her MA degree from Lomonosov Moscow State University.