Insurance and banking acquire and lose money based on risks, - be in credit risks, investment risks or accident risks. With continuing increase in consumer expectations and increasing regulatory scrutiny, you require a robust data and modelling solution. Brainswig help financial institutions such as you build an optimal data and analytical infrastructure that embeds robust data science and data visualization to help your teams to detect and prevent frauds, upsell and cross-sell products, reduce risky customers, reduce customer churn, enhance customer experience and optimize marketing spend.



Financial services



  • Credit Scoring
    • With developing consumer habits and methods, the traditional credit score data models are no longer have their space to the recent analytical models that are far more successful in facilitating lending decisions by incorporating higher level data analytics and an outlining real time footprint left behind by actual consumers.

    • Minimize the risks associated with the scams and deceits using Fraud Screening

    • A comprehensive analysis helps in an accurate evaluation of Credit application and worthiness

    • Integrate data, analyze risk, style, performance and characteristics for multiple portfolios using Portfolio Management

    • Increase the operational efficiency of collections using analytical data to track multiple KPIs, maximize the accounts receivables and more!




  • Fraud Detection
    • Using sophisticated data mining tools, millions of transactions can be searched to the spot patterns and detect the fraudulent transactions. We generate the predictive models to estimate probability of fraudulent behavior in areas such as checks forging, credit card theft, etc.

    • Use superior data analytics to implement an advanced credit/debit card theft and fraud detection systems.

    • Get the advantage of a comprehensive data analysis to reduce and evade loan and mortgage application fraud

    • Utilize the analytical tools to expand your fraud detection capabilities, testing methods and fine-tuning controls in identifying and avoiding systemic and endemic frauds.

    • Big Data helps in recognizing health and medical frauds by streamlining the process of early detection of suspicious claims, comprehensive investigation and more.




  • Credit Card Spend Analysis
    • Our Credit Card Spend Analytics helps in offering customized solutions to credit card customers and increases your share of wallet by deriving detailed consumer behavior insights.


    • Obtain a deeper understanding of your customers by identifying their spending patterns and habits using our models.

    • Enrich your customer’s experience by observing and predicting their transaction behavior and patterns

    • An analysis of your customer’s spending practices helps in offering the value-added services and push marketing strategies.

    • Utilize the market basket analysis to identify the cross-selling opportunities.

    • Using Spend Pattern Recognition, identify patterns and categorize cardholders via a multitude of attributes and variables.