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Advanced Analytics

Bodhtree analytics services can help you derive new insights into emerging trends and behaviors from your customer data. Our solutions are designed to help organizations meet the growing demand for data-driven insights, while reducing the dependency on IT resources and budgets. Additionally, we provide ongoing maintenance, support and enhancements in a scalable, flexible business model that’s based on the user experience you require.

Why Bodhtree for Analytics?

  • 40 member team – a dedicated Analytics Center of Excellence (CoE)
  • 30+ successful engagements
  • Strong technology partnerships with multiple analytics software providers enables us to provide a technology agnostic solution
  • Pre-built templates and reporting frameworks helps us reduce time-to-market for new reports
  • An engagement model that guides you through the business change you need to undergo to implement analytics across your enterprise

Health Insurance Case Study

  • Claims Service Company of the year 2014″ among all 28 General Insurance companies
  • Implemented an end-to-end BI solution using agile methodology
    • ERWIN data modeler, Informatica for data migration and Tableau for visual analytics
  • Provided a scalable EDW data model for claims & underwriting operations based on the current datamart (Premia)
  • Seamless data transformation from Premia to Star Analytics Migrated over 150 reports till date; fully compliant with their existing reporting formats and standards
  • Required a scalable BI data model
  • Needed to modernize their legacy reporting tool
  • Faced stability issues with iCast (legacy reporting)
  • Generating ad-hoc reports was a cumbersome process
  • Needed a powerful visualization tool with self-service capabilities
  • Eliminated 20% of the legacy reports
  • Accelerated time-to-market for new reports
  • Improved efficiency of claims and underwriting operations
  • Powerful visual analytics empowered business users
  • Reduced the cost of managing data across the enterprise
  • Future roadmap: predictive fraud analytics
customer-anlytics

Analytics to Predict Customer Behavior

Analytics and Big Data have become vital tools for organizations to predict customer behavior and drive loyalty. The data that you require to derive true customer insights resides in disparate systems and sources within your organization.

Bodhtree enables you to integrate your data sources, examine trends and patterns, and derive actionable insights from your customer data.

Use Case: Increasing customer lifetime and revenue for a large toy manufacturer

Bodhtree implemented a complete big data analytics topology for a large toy manufacturer to enable improved understanding of customer preferences and buying habits; the process involved the following steps:

  • An assessment study to identify all stakeholders and determine the firm’s readiness and suitability to adopt Big Data
  • Identified business use cases where big data could be a game changer, aligned them to their strategic priorities, illustrated a roadmap for future and clearly defined business benefits
  • Prioritized and selected a use case for improving the customer revenue based on their past behavior; this included:
    • Value based customer segmentation
    • Definition and implementation of 5 KPIs (Customer Lifetime Value (CLV), Average Revenue Per User (ARPU), Drop Rate, Retention Rate, Tie Ratio)
    • Definition of a statistical model to accurately predict the CLV values for a segment of customers
  • Implemented a visualization toolkit for modelling customer behavior and the KPIs of interest
  • Implemented an end-to-end solution spanning data extraction from multiple sources, normalization, storage, analysis and visualization using advanced tools and techniques

With this solution, our client could visualize their customer data in multiple ways and uncover insights that enables them to make faster and fact-based decisions to increase customer lifetime and revenue

Bodhtree Technology Competencies

Business Intelligence
Data Integration, Data Quality & MDM
Database