Comprehensive analysis of CSR data using interactive reports

Data Analysis has become a major domain for every organization to progress and perform better. The flow of the process starts from inspecting and transforming the raw data, and then modeling the data to derive some useful information from it in order to support various decisions and understand a trend and estimate the several performance parameters. LSA (Latent Semantic Analysis), a technique under NLP (Natural Language Processing), is quite frequently used to carry out the analysis by usage of lexical semantics and thereby providing detailed comparisons based on the vector distances. Different techniques such as SVD (Singular Value Decomposition), TDM (Term Document Matrix), and TF-IDF (Term Frequency-Inverse Document Frequency) from LSA are used in this paper to perform the analysis on L&T Infotech CSR data. In order to make the analysis much simpler to the user, various interactive visualizations such as graphs and charts made with the help of Power BI can be developed.