DeciDyn provides a unique blend of business analytics and technology solutions. The engagements vary from project based to long-term service contracts. The company has worked with several clients across various industries in the following areas:

• Online Solutions
• Marketing Analytics
• Risk Management

Online Solutions
Largest Private Sector Bank in India

• Merchant Monitoring Solution to identify online merchants violating compliance guidelines towards protecting brand reputation. The solution uses a combination of web crawling, text mining and classification algorithms to identify prohibited content on merchant website.

Fast Growing Online Consumer Electronic Store

• Online Product Recommendations: SaaS based product recommendation solution based on products viewed or purchased. The conversion rate has increased by 13%.

Leading US Online Store Selling Apple Products

• Provide recommendations based on online visitor behavior and product similarities. The solution has significantly increased customer engagement in terms of increased number of pageviews, time spent on the website and conversions.

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Marketing Analytics
Top 10 Global Consumer Bank

• Develop Authorization Strategy for Corporate and Purchasing Card portfolio. The project led to assigning optimal credit lines to Charge and Purchase Cardholders resulting in decrease of disruption rate by 40% and increase in annual spend of ₤23 MM.

Large Retailer with Hypermarket Stores in India

• Analysis of Customers’ Buying Patterns. The analysis included understanding difference in buying patterns by weekend vs weekday, time of the day, month beginning vs month-end shopping. The project also identified monthly shoppers with a deep dive into various categories to get insights.
• Market Basket Analysis Tool. Leveraging DeciDyn Market Basket Tool to identify associations between products by various categories and sub-categories.

Leading Mobility Service Provider

• Profiling of Customer Base and Portrait Development. The project would help to compare a customer with respect to various metrics with other other customers in the same group. It would also help to understand common characteristics of customers in same group

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Risk Management
Leading UK Merchant Acquirer

• Re-engineer Fraud Rules: The new fraud rule set led to decrease in potential frauds queued. The new fraud rules were implemented and were able to capture nearly 300% more frauds as compared to the earlier fraud rule set.
• Development of Fraud Scorecard: The new fraud score captured 55% of frauds in top 4 percentiles as against earlier scorecard that captured same number of frauds in top decile. False-positive rate reduced by 20%.
• Re-design Risk Rules: The newly developed Risk Rules led to 22% decline in the queue rate of merchants while capturing all the risky merchants.
• Set up of Fraud Database to monitor merchant compliance and charge-backs

Top 10 Global Consumer Bank

• Acquisition Risk Scorecard Development for Home-owner Loans: There was a significant increase in Gini coefficient for the new scorecard (80%) and KS (65%).
• Automated Model Validation Tool for Basel II compliance Card-issuing portfolio. This tool runs on a monthly basis and monitors around 125 scorecards.
• Develop and Implement Risk MIS Infrastructure covering multiple geographies for the entire retail financial products portfolio.

A Leading Travel Bond Provider in UK

• Development of Underwriting Decision System: This system helped in automating the entire workflow of approving travel bond applications that connects the bank with the agents.

Major South African Consumer Bank

• Assessed major consumer loan risk scorecards and developed a framework for evaluating shifts in credit bureau data and their impact on scorecard performance.

UK Consumer Loan provider

• Redeveloped acquisition risk criteria to expand eligible universe while remaining risk neutral. The analysis involved segmentation of the universe to swap high LTV population with medium LTV population.

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