Pentation Analytics: Adding Tremendous Value to Business Processes Across Financial Services Value Chain
Roger Joag, Senior VP Product EngineeringBig Data for the BFSI Domain
“Our business focus areas in Banking, Financial Services, Capital Markets, Insurance and Payments industries include policy retention improvement, customer profiling, experience analysis, telematics and intermediary scorecards. The company leverages market leading big data technology platforms to develop the applications. This allows the organisation to add value to enterprises at two levels. “The crucial four layer capability of design, configure and deploy of the Data File Systems including the Cores and the Hardware, the Platform Tools (either open-source or traditional) followed by the Predictive & Prescriptive IP based Analytics layer, crowned by the Business Intelligence layer has enabled Pentation Analytics to help its customers excel in exploiting the big data challenge (of ever-increasing data volume) to move ahead of their competition, rather than be stifled by it.” states Roger Joag, Sr. VP of Product Engineering and Head-International Business, Pentation Analytics.
Focusing On Client Interaction
The engagement model at Pentation Analytics helps clients across the BFSI value chain. Client interaction and business problem area focus are key drivers for implementation at the engagement phase. “For a reputed securities market broker, we have deployed proprietary capital market analytical record product ‘PRACTIVE’ to enable speedy analysis and business insights generation. Predictive analytics algorithms enable activation of customers for transactions that have been developed using analytical record as the base data layer,”expounds Anirban.
Delinquency Prediction Model for Loans and Payments
Predictive modeling is another core area of service, based on industrial needs, for Pentation Analytics. For instance, the root causes of delinquency for educational loans are different than that for vehicle loans, so the recovery estimation and delinquency behavioral models developed at Pentation utilize sector specific variables. Lenders worldwide, ranging from Payment Houses, Banks, Home and Commercial Real Estate Brokers, Educational lenders, etc., have witnessed rising delinquency rates. While delinquency of large borrowers often ends up on the negotiation table, solution for addressing potential delinquency situations for the consolidators and buyers in the retail scenario lie in appropriate data driven decisions. Pentation Analytics’ predictive models for Loans, both for Performing and Non-Performing Loans, are developed on sectorial trends. Specifically for Non-Performing Loans, the ideal pricing for the sellers, the consolidators and buyers, hinges on recovery estimation and delinquency behavioral models. The model developed at Pentation Analytics utilizes data from loan pools for recovery estimation and tail value calculation rather than one single loan book.
Now that the company is fully entrenched and tremendously successful in India, it envisions expanding to cover world geography. As the data juggernaut is only set to grow in geometric proportions, Pentation Analytics, leveraging its unique expertise in the scalable architecture and model, is emerging into a force to be reckoned with.
The engagement model at Pentation Analytics helps clients across the BFSI value chain. Client interaction and business problem area focus are key drivers for implementation at the engagement phase. “For a reputed securities market broker, we have deployed proprietary capital market analytical record product ‘PRACTIVE’ to enable speedy analysis and business insights generation. Predictive analytics algorithms enable activation of customers for transactions that have been developed using analytical record as the base data layer,”expounds Anirban.
Unlike several other players in the market, Pentation Analytics has the capability to develop analytics offerings across the BFSI value chain
Delinquency Prediction Model for Loans and Payments
Predictive modeling is another core area of service, based on industrial needs, for Pentation Analytics. For instance, the root causes of delinquency for educational loans are different than that for vehicle loans, so the recovery estimation and delinquency behavioral models developed at Pentation utilize sector specific variables. Lenders worldwide, ranging from Payment Houses, Banks, Home and Commercial Real Estate Brokers, Educational lenders, etc., have witnessed rising delinquency rates. While delinquency of large borrowers often ends up on the negotiation table, solution for addressing potential delinquency situations for the consolidators and buyers in the retail scenario lie in appropriate data driven decisions. Pentation Analytics’ predictive models for Loans, both for Performing and Non-Performing Loans, are developed on sectorial trends. Specifically for Non-Performing Loans, the ideal pricing for the sellers, the consolidators and buyers, hinges on recovery estimation and delinquency behavioral models. The model developed at Pentation Analytics utilizes data from loan pools for recovery estimation and tail value calculation rather than one single loan book.
Now that the company is fully entrenched and tremendously successful in India, it envisions expanding to cover world geography. As the data juggernaut is only set to grow in geometric proportions, Pentation Analytics, leveraging its unique expertise in the scalable architecture and model, is emerging into a force to be reckoned with.
