Improved sales performance by 30% for a Life Insurance giant with Qlik Sense

    Client : A prominent private sector life insurance company
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    case study
    • Qlik
    • BFSI
    Problem Statement Problem Statement

    The client faced issues in managing the widely generated unstructured data and bringing out insights from the same resulting in ineffective and heavily gut-reliant decision-making. They needed help with creating intricate projections for revenue generation and determining leakages across channels.

    Key Challenges Key Challenges
    • Lack of automated data management and data analytics platform
    • Inability to tackle and calculate advanced calculations for operational, strategy, and planning purposes
    • Non-availability of real-time data and dashboards across the organization
    Solution Implemented Solution Implemented
    • A consolidated Data Warehouse was established which structured all the necessary data, enabling efficient data retrieval and analysis for informed decision-making.
    • Qlik Sense was implemented to address projection calculations for revenue projection generation – extending it with visualizations and dashboards for better analysis.
    • Technical advancements at different levels were made to enhance projection. This included refining algorithms, incorporating statistical models, and leveraging advanced analytics techniques to improve the accuracy and reliability of projections.
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    Business Impact
    • 90% reduction in manual interventions and calculations due to direct data integrations.
    • The integration improved sales evaluation, reducing sales leakage and enhancing overall performance by 30%.
    • Optimized channel-based profitability analysis
    Project Timeline
    • First stage of implementations completed in 6 weeks

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