Business Intelligence (BI)
Editors Note: This 2024 article represents a potential and promised use of IRI Voracity data cleansing and masking solutions to improve the quality and anonymity of AI models. Read More
Big Data
Over the course of this blog series, we’ve described several data management capabilities, as well as why those capabilities are important and worth caring about. We’ve covered testing, both in terms of test design automation and test data management, data governance and data masking, data migration and modernization, and data quality and improvement. Read More
Data Transformation
We started this series of articles by talking about test design automation and the need to introduce automation throughout your testing processes. In this blog, we come full circle to talk, once again, about testing. Read More
Data Masking/Protection
When it comes to protecting your data, there are two processes that could be considered absolutely fundamental: finding out which of your data is sensitive and where it can be located, and then actually protecting that data. Read More
Data Masking/Protection
In the previous article in this series, we discussed the importance of improving and maintaining the quality of your data. Along the same lines, it is also very important to make sure your data is well-governed. Read More
Data Quality (DQ)
It always bears repeating that being able to serve up high-quality data is really important. This is partly because the consequences of poor data quality can be severe – misleading analytics, stymied processes, greater storage costs (due to duplicated data), and so on – but also because historically many organizations have not treated data quality as the priority it should be. Read More
Data Migration
With the rise of the cloud, data migrations – and specifically, cloud migrations – have become (and, for that matter, are still becoming) increasingly important to many organizations. Read More