One or more data sources associated with each of a plurality of applications may be identified in a computing system, as in block 604. Each of the plurality of applications may be ranked according to a degree of importance, a degree of correlation, or a combination thereof in relation to the one or more data sources, as in block 606. Each of the plurality of applications may be retained or removed according to the ranking, as in block 608. The functionality 600 may end in block 608.

In one aspect, in conjunction with and/or as part of at least one block of FIG. 6, the operation of 600 may include each of the following. The operation of functionality 600 may define the one or more data sources to include structured data, semi-structured data, and non-structured data in the computing system, wherein the one or more data sources is associated with one or more of the plurality of applications. The operation of functionality 600 may perform a natural language processing (NLP) on the one or more data sources for determining the degree of importance and the degree of correlation. The operation of functionality 600 may learn the degree of importance and the degree of correlation between each of the one or more data sources and a corresponding one of the plurality of applications using a machine learning model.

The operation of functionality 600 may assign weighted values to the degree of importance and the degree of correlation for each of the one or more data sources, and/or assign a confidence score according to a scoring model for each of the plurality of applications, wherein each confidence score is used for ranking each one of the plurality of applications.