Articles

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.

Data is the foundation of today’s businesses; however, the infrastructure needed to maintain the integrity of this data is growing exponentially more complex. Consider an average business transaction that crosses dozens of separate systems before it’s complete. Each of these systems shares customer, product, location, and financial data across multiple domains.