Recommending medicines and predicting diseases based on historical or real time data from various data sources like hospitals, clinics, laboratories and pharmaceuticals. It helps to forecast what to be expected in a relative time from a historical medical data.

Analytics in healthcare can play a key role in reducing high-risk healthcare problems and usher in evidence based personalized medicine. Healthcare Analytics is a generic terminology and can be viewed differently by different stakeholders —  a) doctors are more interested in clinical analytics, such as personalized treatment where data drives decision making and can suggest the next course of treatment for a specific patient that will give optimal result; b) for government or organizations it can imply using collated data to identify patterns in disease occurrence/recurrence or even treatment; c) for providers it entails automating tasks or minimizing errors by performing first level of diagnosis through algorithms or generating x-rays reports through image processing.

In this domain we analyze technical, commercial and regulatory issues, and coherent presentation of results and recommendations, to answer critical telecom business questions.

The telecom industry is one which not only sees a large customer base, but a customer base who’s needs and desires are constantly evolving and/or shifting. On top of this, telecom firms face cut throat competition, making it a highly dynamic and challenging industry. In such a scenario, each decision taken becomes all the more crucial. It is therefore imperative for the firm to take decisions based on extensive data analytics to ensure efficient and effective use of business resources.

In this domain we analyze the different views of a company’s financial data forecasting the growth or demise leading to plan the future with keen monitoring of investments and other financial activities for improving the growth by ensuring the cost reductions and sales maximization.