Predictive analytics helps organizations to use their data to make better decisions. It enables banking sector to be more customer focussed and giving personalized services.

Based on the requirements in fintech domain, Dotsquares have successfully predictive analytics module in various projects. We understand the requirements of platform to deliver more customized and accurate analytics module.

• Finding the correct model required for data analysis
• It is not enough to know which model will work.
• Handling huge volume of structured and unstrutured data
• Anaysing data with speed and accuracy

• Understadning the core points, we believe in approach of developing unified platform to store, manage and analyse all banking data
• We follow the complete modelling cycle starting from pre processing to Monitor and Improve
• Applying the technology to help discover the patterns. Develop profiles of users who have left, to get an insight of why they left and predict which action will earn their loyalty

• Customer Retention - By Analysing the logs and activities the predictive analysis in banking helps in identifying customers.
• Cross Sell and Up Sell - Predictive analysis in banking helps to indentify the risks and manage the cross selling and up sell effectively.