Churn is a significant concern for companies, where an increase in rate signals that there are problems that need immediate attention. Companies have to consistently monitor churn rates to identify which customers are likely to drop off and why. Only accurate and relevant analysis can deliver insights into churn rates and the reasons for churn.
The customer, an asset management company, wanted to analyze their churn rate to come up with a robust intervention strategy.
An in-depth analysis of the customer’s processes revealed various challenges.
Apexon utilized our capabilities in data science and R and open source library OpenNLP to devise a solution where we:
Formulating a strategy for geo-analysis at state, segment, and high net worth level, Apexon came up with a solution that involved:
Automation of a Seamless Integration of Dealer Track for Credit Application Submission Process Consolidation for a Leading Financial Services Provider
Discover how we helped America’s largest telecom network provider increase their data storing and distribution capabilities from 250 TB to 1.9 PB and enable 95% data availability to improve their data management processes while reducing costs.
Learn how we assisted a Danish business conglomerate with activities in the transport, logistics and energy sectors to implement a centralized Data warehouse to improve their data quality, analyze the business trend and performance.
Discover how we aided a leading US bank holding company headquartered in Michigan with capability enhancements that ensure a long-term process that reduces data anomaly and mismatch errors, improves operations, and mitigates risks.
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