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.
How organizations manage enterprise metadata change requests has a huge impact on the quality of the dimensions, hierarchies, and properties that business applications use to aggregate and analyze data.
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.
In late October, a server misconfiguration at Microsoft left an endpoint publicly accessible with no authentication required. The lapse reportedly exposed 2.4 terabytes of data, including invoices, product orders, signed customer documents, partner ecosystem details, and other business transaction data.
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.
The EPMware team recently attended Splash EMEA 2022, OneStream’s annual user conference and partner summit tailored for EMEA customers and partners, at the Pullman Montparnasse in Paris, France. We were excited to attend as a OneStream technology partner.
Today’s enterprises are highly complex, relying on potentially hundreds of different business applications and systems across multiple departments and business units. Each of these applications and systems generates and consumes data, which can easily become fragmented, duplicated, or obsolete.
Over the past two decades, there has been a surge in the volume, sources, and types of data that must be organized and analyzed before it can be used to power enterprise business processes. Although it’s next to impossible to pinpoint the exact amount of structured and unstructured business data being generated and consumed every day, it’s safe to say that between video, text, images, streaming,...
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