CRM Data Quality Manager
Improve and clean CRM data uploads for sales and operations teams
Overview
The CRM Data Quality Manager cleans, standardizes, and enriches CRM data uploads to ensure sales and operations teams work with accurate, actionable customer information. Dirty CRM data—duplicate records, inconsistent formatting, missing fields, and outdated information—undermines sales productivity, reporting accuracy, and customer experience. This agent processes data imports before they enter your CRM, identifying and correcting quality issues like duplicate contacts, malformed email addresses, inconsistent company names, and incomplete records. It applies standardization rules, enriches records with missing information, and flags high-risk data issues for review. By ensuring clean data from day one, it protects CRM integrity and maximizes the ROI of your sales technology stack.
Capabilities
- Detect and merge duplicate records before CRM import
- Standardize formatting for names, addresses, phone numbers, and company fields
- Validate email addresses and flag invalid or risky contact information
- Enrich incomplete records with missing data from public sources
- Generate data quality reports with issue summaries and remediation recommendations
Agent Workflow
- Input: User uploads a CSV or spreadsheet of contact/account data for CRM import
- Quality Audit: Agent scans data for duplicates, formatting inconsistencies, and missing required fields
- Deduplication: Identifies duplicate records and merges them using intelligent matching rules
- Standardization: Applies formatting rules to ensure consistency across all fields
- Enrichment: Fills missing data points using validated public sources where appropriate
- Output: Delivers cleaned data file ready for CRM import plus quality report with issue summary
Example prompt
"Clean the attached CSV file containing 2,500 prospect records before importing to Salesforce. Identify and merge any duplicate contacts based on email address and company name, standardize all phone numbers to E.164 format, validate all email addresses and flag any with invalid domains, ensure company names follow consistent capitalization (e.g., 'IBM' not 'ibm' or 'I.B.M.'), fill in missing 'Industry' fields where possible based on company domain research, and generate a data quality report showing: total duplicates removed, invalid emails found, records enriched, and any high-risk issues requiring manual review before import."
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