Articles

Data quality impacts every corner of an enterprise, whether it’s finance, IT, marketing, or sales. Implementing a master data management (MDM) strategy will help ensure every business decision in every department is based on reliable, accurate, and up-to-date analytics and intelligence.

In today’s data-intensive enterprises, data redundancy and inconsistency isn’t just a symptom of poor data management; it’s a prescription for untrustworthy analytics and useless business intelligence.

In today’s highly data-reliant business environments, master data management (MDM) is essential. With historically high volumes of transactions sharing data and metadata across multiple systems and applications, factors including human error, inconsistent metadata, and failure to validate requests can negatively impact data quality and outcomes.

Data is a driving force in today’s enterprise. Every transaction and interaction either consumes or generates data, which needs to be secured, processed, stored, analyzed, and used to support an operational function or achieve a business objective.