Elevating Insurance Analytics: A Looker and GCP Success Story

A leading insurance provider faced inconsistencies and gaps in reporting due to unstandardized data and legacy spreadsheet-based reporting. The project aimed to modernize their analytics infrastructure by implementing a scalable GCP-based reporting solution.

Client: Insurance

Services: Data Visualization

Year: 2025

Key Challenges

Need for standardization of data in their data lake to facilitate efficient analysis and reporting across multiple dashboards.
Implementing ETL measures for all the key performance indicators (KPIs) to ensure accurate and consistent reporting.
Recreation of existing reports to enhance data visualization capabilities and improve overall reporting efficiency

Table of Contents

Key Challenges
Technologies
Solution
Benefits

Technologies

Solution

Sparity’s team conducted a thorough analysis of the client’s data lake to identify gaps and inconsistencies affecting the accuracy and reliability of reports and analytics.
Implemented data cleansing techniques to address deviations and duplications, ensuring improved data accuracy.
Collaborated with the client to understand their specific reporting needs, implemented ETL logics for all the key performance indicators (KPIs).
Loaded Google cloud storage data into BigQuery using scheduled queries and created consolidated aggregated tables for efficient analysis.
Developed a centralized reporting infrastructure using Looker Studio and Tableau. We migrated existing reports from spreadsheets to Google Sheets, seamlessly integrating with BigQuery for efficient data retrieval.

Benefits

The data quality analysis and cleansing efforts resulted in improved data accuracy, reducing errors and inconsistencies in the client’s reports and analytics.
Met reporting requirements and provided tables to support multiple dashboards.
Migration of reports to Looker Studio and Tableau enabled the client to leverage advanced data visualization capabilities.

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