Now after the data colletion in the last segement, its the time to analyse it.
While the data is mostly available, it needs to be collated and analyzed in the right manner in order for such decisions to be made.
There aren’t any real hypothesis to test here. Basically you produce dashboards that will give you 360 view of your business and covers every data point across each dimension
Ashsish will give the detailed process of anakysing the data.
The biggest challenge is in terms of data availability and the data cleanliness. Many a times, at data entry stage the operators would spell the same disease differently, also many a times, the final bill will have only the details of the main disease being treated even if the patient was treated for multiple conditions. City name spellings, hospital name spellings etc. are a big issue and requires careful harmonization
Some important insights were inferered using the data analysis and by making some of the above decisions, usually the insurer is able to save costs and provide better customer service experience to its customers.