Accurate and reliable data is essential for training effective AI models. High-quality data ensures precision, reduces bias, and builds trust in AI systems. Similarly, Master Data Management (MDM) systems enhance data quality by integrating data from multiple sources, enforcing data governance, and providing a single source of truth. This helps eliminate discrepancies and maintain data integrity.
Integrating Product Information Management (PIM) with MDM ensures accurate and consistent product data across all channels, crucial for data-driven marketing. This combination centralises customer and product data, enabling precise targeting and personalised experiences. MDM and PIM integration leads to higher ROI and improved customer satisfaction by supporting effective marketing strategies.
In this episode of the EM360 Podcast, Paulina Rios Maya speaks to Philipp Krueger about integrating PIM and MDM functionalities and how it streamlines operations, improves data accuracy and supports data-driven marketing strategies.
Chapters
00:00 - Introduction and Importance of Data Quality in AI Models
05:27 - Core Capabilities of an MDM System
08:13 - The Role of Data Governance in Data Management
13:37 - Enhancing Customer Experience and Driving Sales with Pimcore
19:47 - Integration of PIM and MDM Functionalities for Data-Driven Marketing Strategies
22:59 - The Impact of Accurate Data on Revenue Growth
27:28 - Simplifying Data Management with a Single Platform
