Informatica MDM 360 Virtual Summit keynote will feature PayPal's MDM journey, best practices session, a panel discussion with MDM experts, and a demo showcasing the reimagined MDM in action.
Date: Sep 07 (starting at 9 AM PST)
Join for free to discover the disruptive power of master data and learn about the future of data-driven digital transformation with reimagined MDM. #MDM360
(Suresh Menon, SVP & GM, MDM, Informatica; Patrick Lesandrini, Enterprise Data Governance & Quality Applications Mgr, PayPal)
Hear from Informatica executives and customer, PayPal, on intelligent engagement and see a demo of reimagined MDM.
Our interconnected world of data is disrupting how customers and companies interact and do business. Reimagined MDM makes it easier for leading companies to push the envelope of intelligent engagement to deliver exceptional customer experiences, nail down regulatory compliance, optimize critical business processes and make smarter decisions. In this keynote, Suresh Menon, SVP and General Manager of MDM at Informatica will share how Informatica is setting the pace for the next generation of intelligent MDM and unleashing new MDM solutions to deliver great customer experiences, comply with changing regulations, optimize employee efficiency, and drive growth.
You will also get a chance to see Intelligent Master Data Management in action with a demo that shows how reimagined MDM unleashes the power of trusted data, simplifies your master data strategy by supporting your journey to cloud, and fuels forward-looking strategies with intelligent recommendations.
Learn how MDM experts unleash the disruptive power of master data.
This panel discusses the changing data landscape, how successful companies approach MDM, and why it is time to reimagine MDM. You will also learn best practices and step you can take to unleash the disruptive power of master data.
(Ron Matusof, VP, MDM Advanced Customer Engineering, Informatica)
Get advice and learn best practices from experts to ensure your success with MDM
• Understanding usage scenarios
• Choosing solutions that meet those scenarios
• Evaluating master data consumption patterns
• Defining a solution data model
• Defining a solution architecture
• Applying system requirements (NFRs) to the solution
• Monitoring, governing, and continuously improving the trusted data system