Effective reference data management is crucial for optimal operational risk management in any organization. Our projects aim to identify critical data, establish data management, and ensure data quality, relevance and security through automation, collaboration and data usage monitoring.
From my experience, a significant group of people does not differentiate between Reference Data Management (RDM) and Master Data Management (MDM). This […]
For some time now, ChatGPT has been gaining attention for its potential in various industries. At first glance, the field of reference […]
It’s clear that storing the history of reference data changes meets many requirements for data analysis and reporting, and is practically essential […]
Upcoming end of the year is a good opportunity to provide you with the next version in our application. Over the past […]
Reference Data Management (RDM) is of interest to many organizations. A few years ago, only large corporations initiated projects of this type. […]
The primary “fuel” for the digital economy is data. Data management becomes a key factor determining the organisation’s functioning. This trend makes […]
Suppose you are the administrator or business owner of a report database, data warehouse, or product or customer master data. Or maybe […]
When implementing data warehouse solutions (DW) or the Master Data Management (MDM) class, we usually assume that users know their business. Usually […]
