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

Client: A prominent private sector life insurance company

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

• 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 Framework

• 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.