Sun Street Limited, the data management technology company, today announced the launch of the third major version of Curium, its innovative Data Quality Management application. Version 3 gives financial service firms more connectivity options for deploying Curium over their systems architecture. It also introduces additional tools for analysing the construction and provenance of master or ‘gold copy’ data.
The first two versions of Curium delivered a rich data quality management tool that included end to end workflow and visibility over the data architecture for Operations teams. Version 3 introduces more access options when querying data across a complex architecture of multiple database and application technologies. Furthermore, using the same models that support the data quality process, data analysts can build multiple ‘side by side’ gold copy scenarios of data sets with the ability to determine more efficient or more cost effective data sourcing strategies.
Adam Saunders, Product Director for Curium commented: “Version 3 is a result of market and client feedback. In the current environment, firms are seeking data quality management tools like Curium and the easier and quicker these can be deployed with minimal disruption to the data architecture, the quicker they can see the results. Version 3 allows us to introduce Curium to an even wider audience of asset managers, hedge funds, brokers and banks.”
Commenting on the new data construction features of Version 3, Mat King, Professional Services Director at Sun Street said: “Data analysts want to be able see the logic behind the mastering of any data attribute while also tracking data lineage from the various sources of data. Often this logic is obscured and it is difficult to see the impact of making changes to it. In the same way that Curium versions 1 and 2 gave Operations teams control and ownership of data quality, version 3 is about giving data analysts control and visibility over their master data construction rules and data provenance. With Curium version 3, they can mirror existing logic, build new ‘what if’ construction scenarios and instantly see the impact of these changes.”
A further addition to version 3 is the ability to link attributes defined in the Curium data models to external data dictionary definitions and link the data exception rules to data governance procedures or similar. These features are a further example of where Curium can become the central reference point for all aspects of data quality and give key Operational users more visibility over their data environments.