This webinar is sponsored by
About the Webinar
In today’s fast-paced business landscape, achieving quick wins is crucial for proving the value of unified data and master data management (MDM) investments. However, many projects get bogged down with custom development and struggle to tie MDM investments to business outcomes. Join us to learn the secrets of making the business case for MDM and accelerating the time to value for your analytics, operational, and AI initiatives by leveraging AI-ready data.
In this webinar, Karthik Narayan (Director of Product Management) and Anthony Colichio (Senior Value Consultant at Reltio) will share:
- Strategies and frameworks to show the value modern MDM brings to your business
- How prebuilt components can help you quickly implement MDM and unify data across multiple domains—including customer, product, and supplier
- The importance of AI-ready data in enhancing the ROI of your MDM investments for downstream AI initiatives and cloud data warehouses such as Snowflake and Databricks
- Examples of organizations that have achieved high ROI from their MDM investments
Join us to discover how you can jumpstart your data unification initiatives and rapidly drive tangible results.
About the Speaker
Karthik Narayan
Director of Product Management, Reltio
Karthik Narayan is a seasoned data management product leader with over a decade of experience in enterprise data management and digital transformation. As Director of Product at Reltio, he oversees the pre-packaged industry solutions that Reltio offers to its customers.
Anthony Colichio
Senior Value Consultant, Reltio
![](https://content.dataversity.net/rs/656-WMW-918/images/thumbnail_Anthony-Colichio.jpg?version=0)
Anthony Colichio is a seasoned value engineer with over two decades of experience in maximizing technology investments. He has held senior roles at Reltio, Acquia, Lithium Technologies, Sprinklr, and Chase with an emphasis in digital strategy, solution engineering, and product integration, excelling in enhancing enterprise technology stacks and aligning business objectives with technical solutions.