Data Science & Analytics Team
Our primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated.
WHY DATA SCIENCE & ANALYTICS
Analyzing the data provides a lot of interesting insights including:
Predicting the customer churn
Contemporary analytics in determining the right marketing channel
Determining the survival analytics to come up with the probability of churn across the segments
Predicting the call drop rate
Predicting the network issues which customers might face to provide
These are possibilities on how analytics will help your companies to survive in the ever-increasing competitive market.
WHAT WILL YOU GET ?
Our data scientist will help you discover the information hidden in vast amounts of data, and help you make smarter decisions to deliver even better products. Our primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated.
- Mitigating risk and fraud. Data scientists are trained to identify data that stands out in some way. We create statistical, network, path, and big data methodologies for predictive fraud propensity models and use those to create alerts that help ensure timely responses when unusual data is recognized.
- Delivering relevant products. One of the advantages of data science is that organizations can find when and where their products sell best. This can help deliver the right products at the right time—and can help companies develop new products to meet their customers’ needs.
- Personalized customer experiences. The ability for sales and marketing teams to understand the audience on a very granular level. With this knowledge, an organization can create the best possible customer experiences.