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Why More Businesses are Switching from Legacy to Modern MDM

Reltio

I’ve seen modern MDM fix organizational data problems and deliver tangible outcomes for their business and customers. Some additional challenges with legacy MDM are: It doesn’t scale to billions of customer records or 1,000s of profile attributes making it difficult to manage big data volumes.

MDM 75
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Breaking Down Barriers: Data Quality as a Driver for Pharma Transformation

Reltio

The industry faces several data quality challenges, including with data governance, data silos, and data integration. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.

MDM 52
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Master Data Migration: Moving From Legacy MDM to Innovative MDM

Reltio

Data leaders and architects want to accelerate their company’s digital transformation and enable connected customer experiences with connected data. Flexible, Extensible, Configurable Data Structure and Services: Business processes, customer insights and data integrations need to be changed and adapt more quickly in a digital future.

MDM 78
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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

With it, an organization can explore models to understand information assets within a business context, from internal operations to full customer experiences. Industry and government regulations affect businesses that work in or do business with any number of industries or in specific geographies.

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Business Process Modeling Use Cases and Definition

erwin

This also extends to industry-specific other compliance mandates such as those in healthcare, pharmaceutical and the financial services industries. The Regulatory Rationale for Integrating Data Management & Data Governance. There’s a clear connection between business process modeling and digital transformation initiatives.