Data Quality

Clean, Trusted Records for Every Workflow

Keep accounts and contacts deduplicated, normalized, and action-ready so sellers and AI systems can trust every view, recommendation, and report.

Context AI continuously detects duplicates, inconsistent fields, and stale data so teams stop working from fragmented records.

DeduplicationNormalizationConfidence ScoringGovernance

Better data quality improves seller productivity, AI accuracy, routing decisions, and pipeline reporting across the organization.

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Record Quality Console

Acme Robotics

3 duplicates detected • 7 fields normalized • trust score improved

Quality ↑

Detected issues

Duplicate domain matchTitle formatting mismatchMissing region code

Recommended action

Merge 3 account variants into canonical enterprise record

92% duplicate confidence Trust score +18 pts

Quality timeline

Normalized titles and email domains

Now

Detected duplicate account cluster

2m ago

Data Quality

Keep every record clean, trusted, and action-ready

Data Quality helps teams maintain reliable account and contact records across CRM, communications, and enrichment sources.

CRMEmailCalendarsEnrichment

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How It Works

Detect, resolve, and monitor continuously

Context AI evaluates incoming records across systems, identifies conflicts and duplicates, applies normalization rules, and tracks confidence so downstream workflows stay reliable.

Quality Dimensions

What Data Quality improves across the stack

High-quality records improve seller workflows and strengthen the performance of AI briefings, context cards, territory planning, and analytics.

-63%

Duplicate rate

+28%

Field completeness

+19 pts

Data trust score

Duplicate detection and record resolution

Identify overlapping accounts and contacts across systems and merge with controlled rules.

Field normalization and standardization

Normalize names, titles, domains, and formats into consistent, usable records.

Confidence scoring and quality monitoring

Track data trust by record and field so teams know what is reliable.

Continuous sync-aware corrections

Keep records clean as new data arrives from CRM, email, and enrichment sources.

Core Capabilities

Data quality that supports revenue workflows

Data Quality is not just cleanup. It is the reliability layer that makes sales execution, AI outputs, and account planning trustworthy at scale.

Business Impact

Trusted records drive better execution

Cleaner account and contact views across teams
Higher confidence in AI outputs and seller prep
Less manual cleanup and CRM admin overhead
Better routing, targeting, and reporting accuracy

Built for Enterprise Scale

Governed quality across complex systems

Data Quality supports enterprise governance, large record volumes, and multi-system identity mapping so teams can maintain trust without manual cleanup cycles.

Rule-based merge controls and governance

Field-level confidence and auditability

Cross-system identity resolution at scale

Continuous monitoring for drift and regressions

Supports downstream AI and analytics workflows