The client operated at national scale, but mentor data was split across legacy systems. Duplicate records, delayed reporting, and inconsistent information created operational friction and slowed decision-making.
Critical mentor data lived separately across SQL and Salesforce with no unified record.
Manual export-import processes delayed access to current operational insights.
Names, addresses, and IDs varied across systems, creating duplicate or missing records.
Legacy processes could not efficiently support growing volumes and wider operations.
Inferenz designed a centralized master data foundation that unified mentor records, improved data quality, automated movement of data, and enabled faster self-service reporting.
Central Master Repository
Built a single trusted hub to maintain the golden record for every mentor.
Intelligent Record Matching
Created unique identifiers and matching logic to reduce duplicates and merge conflicts.
Historical Data Model
Implemented a scalable vault-based structure that preserved source-level history and lineage.
Automated ETL Framework
Designed scheduled incremental pipelines to load, cleanse, and validate high-volume data.
Self-Service Analytics
Enabled business users with dashboards for mentor counts, gaps, trends, and operations.
Future-Ready Foundation
Established a scalable platform for additional systems, users, and analytics needs.
50 GB of structured data migrated into one centralized repository.
1 million mentor records standardized and scrubbed for accuracy.
500+ employees gained timely access to refreshed operational data.
Foundation built to support future expansion and reporting demands.
Whether you’re starting with data modernization or exploring AI copilots, we’re here to help.
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