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CASE STUDY

Data Diligence: Streamlining Legacy Cleanup for FIMC Insurance

About the Client

FIMC, a prominent insurance company, embarked on a comprehensive data cleanup and optimization project to improve the quality and usability of its legacy customer data. The initiative aimed to address data inconsistencies, remove duplicate records, and optimize data structures for efficient use within FIMC’s systems. Using a suite of advanced data management tools, FIMC was able to map, cleanse, and migrate large volumes of legacy data, ensuring accuracy and relevance. The project’s focus on data integrity and optimization supported FIMC’s goal of improving customer insights and operational efficiency across its insurance services.

Description

Cleaned and optimized legacy customer data for FIMC Insurance, reducing redundancies and improving CRM integration for better insights and efficiency.

Work Details

Conducted an initial data audit to identify inconsistencies, duplications, and gaps within legacy customer records.

Utilized data management tools to map and categorize data fields, aligning them with FIMC’s current CRM requirements for seamless integration.

Implemented deduplication algorithms and automated validation checks to identify and merge duplicate records, enhancing data accuracy.

Standardized data formats and optimized data structures to improve system compatibility and ensure efficient data handling across platforms.

Carried out phased data migration, systematically transferring cleaned and validated data to minimize risks of data loss or integrity issues.

Benefits

Achieved a 98% reduction in data redundancies, enhancing overall data accuracy and reliability.

Improved data retrieval speed and customer query resolution times due to streamlined, optimized data structures.

Reduced storage costs by eliminating unnecessary records and standardizing data, enabling more efficient data management.

Enhanced customer insights and engagement potential, as the cleaned data provided a clearer and more accurate view of customer information.

*Partnered with Imagene.

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