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Engineering Square
Enterprise Data Management

De-Dupe Data Analysis and Cleansing

Widespread duplicate records were corrupting reporting and wasting outreach. We ran a three-phase data quality program that cleaned the org and kept it clean.

Client

Enterprise Client

Enterprise Data Management

Cleared duplicate records org-wide and blocked new ones automatically

01Problem

The organization's Salesforce instance was riddled with duplicate records, eroding data quality and trust. Duplicate accounts and contacts confused sales and operations, producing inaccurate reporting, wasted outreach, and poor customer experiences. Manual deduplication was slow and unsustainable at scale.

02Solution

We ran a three-phase data quality program. In Identification, we built Duplicate Management Rules keyed on D-U-N-S numbers and generated record sets of potential duplicates. In Cleansing, batch jobs selected master records with custom rules, backfilled missing fields from duplicates, and routed conflicting values to an Additional Info object for manual review. In Monitoring, we stood up reports and dashboards and activated Dupe Blocker to hold the line on data integrity going forward.

03Impact
  • Eliminated duplicate records across Salesforce with automated batch processing
  • Established master-record identification driven by custom business rules
  • Built real-time dashboards for ongoing data quality monitoring
  • Activated Dupe Blocker to prevent future duplicate creation
04Stack
SalesforceD-U-N-S Number MatchingDuplicate ManagementBatch ProcessingSalesforce Reports & Dashboards

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