B2B INTELLIGENCE PLATFORM · DATA QUALITY

Raw records become usable buyer intelligence.

InMarketIQ standardizes fields, resolves duplicate identities, connects people to companies, classifies business meaning, and preserves record history before the data is used to prioritize a buyer.

Canonical record pipelineQUALITY CONTROLS
01StandardizeFormats, names, titles, domains, locationsNormalize
02ResolveDuplicate people, companies, and relationshipsIdentity
03ClassifyProfessional roles and company business meaningContext
04PreserveValidation state, update dates, and lineageHistory
Canonicalperson and company profiles
Field-levelvalidation and recency
Monthlycore data updates
Traceableobserved and derived values
THE NORMALIZATION PIPELINE

Quality is a sequence of controlled transformations.

Record volume is one input. InMarketIQ makes the records usable by establishing consistent identities, relationships, classifications, and field states.

IngestReceive person, company, professional, domain, contact, and activity records
StandardizeNormalize formatting, names, titles, domains, locations, and categories
ResolveIdentify duplicate people and companies and connect related records
EnrichAdd website-derived company understanding and professional context
PublishCreate canonical objects for Buyer Graph priorities and activation
SIX QUALITY CONTROLS

What InMarketIQ checks before a record becomes actionable.

01

Identity consistency

Determine whether names, emails, phones, profiles, domains, and work history belong to the same person.

02

Company resolution

Establish the canonical company, primary domain, related domains, and persistent company relationship.

03

Professional normalization

Preserve the full job title while standardizing department, seniority, and role for comparison.

04

Contact validation

Maintain validation status and last-seen information for available business contact points.

05

Record recency

Track when company, role, contact, and record-level information was last updated or confirmed.

06

Data lineage

Distinguish observed values, normalized values, derived intelligence, and customer-owned evidence.

CANONICAL RECORD

One operating profile resolves conflicting records.

When multiple records describe the same person or company, InMarketIQ resolves them into a canonical profile used throughout the platform. Original values, update history, and validation states remain attached to the profile.

The profile changes with new evidence. Newer professional, company, research, or customer information can update the canonical record.
Field stateTRACEABLE
Original valueThe value received or observed
Normalized valueThe standardized operating value
Data classObserved · normalized · derived · customer-owned
Validation stateAvailable field-level quality status
Updated dateMost recent field or record confirmation
RelationshipPerson, company, role, event, or outcome connection
WHY IT CHANGES THE RESULT

Data quality is a revenue performance issue.

Wrong company

Misclassification expands the market with businesses that never resembled a strong customer.

Wrong role

Unnormalized titles make it harder to identify the people likely to influence the decision.

Wrong identity

Disconnected records prevent buyer activity, professional context, and contact points from working together.

Wrong action

Weak foundations produce wasted audiences, poor sales priorities, and avoidable CRM noise.

SEE THE SYSTEM APPLIED

Put your market on a stronger data foundation.

See how InMarketIQ normalizes company, person, and buyer evidence before it reaches marketing or sales.

Book a working session