As we have observed majorly in large enterprises, particularly the Banking and Finance sectors, there is always a huge amount of data building up every day. Moreover, one cannot ignore the fact that every observation in the database is linked up or important in some or the other way. So if you need to make a change to a data table, you need to understand the impact of that decision on your downstream data and reports. Currently, I will be focusing on the chief enhancement of Impact Analysis in data integration. Analyze your Data Impact Here, I am showing the application of Data Integration in enterprises and the advantage of Impact Analysis in SAS Data Integration (DI) Studio. SAS DI Studio offers the ability of creating jobs, which can be used to populate various tables and creation of analytical reports. SAS DI Studio is an end-to-end solution in creation of the data warehouse. SAS Data Integration Studio User’s Guide describes impact analysis like this: “Impact analysis identifies the tables, columns, jobs, and transformations that are affected by a change to a selected table or column. Reverse impact analysis identifies the tables, columns, jobs, and transformations that contribute to the content […]