erwin Data Intelligence by Quest Impact Analysis/Data Quality Assessment

What is your impression of erwin DI when it comes to impact analysis and data quality assessment? Please provide details.

AS
Architect at a insurance company with 10,001+ employees
Impact analysis is a huge benefit because it gives us access to our pipeline and data mapping. It captures the source systems from which the data came. For each source system, there is good lineage so we can identify where it came from. Then, it is loaded into our clean zone and data warehouse, where I have reports, data extracts, API calls, and the web application layer. This provides access to all the interfaces and how information has been consumed. Impact analysis, at an IT and field levels, lets me determine: What kind of business rules are applied. How data has been transformed from each stage. How the data is consumed and moved to different data marts or reporting layers. Our visibility is now huge, creating a good IT and business process. With confidence, they can assess where the information is, who is using it, and what applications are impacted if that information is not available, inaccurate, or if there are any issues at the source. That impact analysis part is a very strong use case of this tool.
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