…Data Modeling (1,4) and Data Governance (2) are lower. Still, it is precisely solid data governance that ensures higher default quality of data, especially if it is necessary to integrate…

…Nearly 20 years of challenges, over 360 Data Apps created and put into production. What are the most common obstacles to a successful data quality project? Let’s look at five…

…to data quality (4.4 vs. 4)—two key disciplines in information asset management—as well as data architecture, storage, and reference & master data. Insurance companies making progress, but still behind the…

…checks between interface data streams and accounting master data; accuracy: consistency checks between interface data streams and the original batch to check that the data extraction was correct and complete;…

…dimensions (process quality, internal quality, relational quality, and temporal quality), which are further divided into seven quality criteria, based on the main regulations and market best practices. There are three…

In the fascinating world of Data Management, curious stories often circulate that highlight the importance of data quality. Sometimes they even make us smile—until it happens to us or one…

…ledgers, in order to verify that the original ledger data is correctly and completely extracted trend variations: controls that reduce period effects by relating data in one data stream with…

…EDM Data Platform makes data quality practices simpler for your Data Analysts. Discover the advanced augmented data quality systems that use AI and ML: the rules are directly suggested based…

…about the potential and advantages of Augmented Data Quality, watch the video of the speech! Discover how to guarantee quality data through advanced technologies, to save precious time and optimise…

The Solution implements a centralized Data Quality and Data Governance garrison in response to the requirements of IVASS Regulation 38. Integrated upload templates and connectors keep the governance model alive…