Identity Resolution: Connect Fragmented Data
Identity resolution is the process of determining whether separate records refer to the same person or organization. It helps business researchers make sense of information scattered across sources without assuming that a shared name proves a match.
A useful approach combines consistent record preparation, multiple points of comparison, and review of uncertain matches. The aim is a clearer understanding of the evidence behind a connection, with room to correct it when new information appears.
Prepare Records for Meaningful Comparison
Fragmented data can contain different spellings, formatting variations, missing fields, and older details. Before comparing records, standardize formats while preserving the original information and its source.
- Use consistent formats for names and addresses.
- Separate missing values from confirmed information.
- Retain source context and available dates.
Preparation makes comparisons easier to review. It does not establish identity by itself: two records that look similar may still refer to different entities.
Compare Several Details Before Connecting Records
A name alone is often insufficient evidence. Review the combination of relevant details, their source context, and whether they are consistent with the entity being researched. Conflicting information deserves investigation rather than an automatic merge.
For example, a sales research team comparing business records can examine business names and addresses together. Document why records were connected and which details remain uncertain. The same disciplined approach supports data verification and market research without turning an assumption into a fact.
Use Cross-Referencing to Examine the Evidence
Cross-referencing adds context to information already held. EnformionGO is a data intelligence platform offering real-time access to identity, people, business, asset, and court record data through self-service searches and API integrations.
The platform draws on more than 6,000 unique data sources for public-record inquiries and cross-referencing existing data. Select information relevant to the research task and review what it supports. Access to more records does not, by itself, establish that a proposed match is correct.
Explore EnformionGO for business research and data verification workflows.
Keep Uncertain Matches Open to Review
A responsible workflow distinguishes a supported connection from an unresolved possibility. Define how your team records uncertainty, who reviews conflicting details, and when a connection should be revisited.
- Record the evidence used to connect records.
- Keep unresolved conflicts visible to reviewers.
- Recheck connections when relevant details change.
Preserve a way to correct mistaken associations. Clear documentation helps another researcher understand a decision without repeating every step or accepting the result uncritically.
Make Connected Information Useful to Researchers
Identity resolution works best as a repeatable research practice: prepare records, compare relevant details, cross-reference evidence, and review ambiguity. Connected information becomes useful when the reasoning remains understandable and corrections remain possible.
EnformionGO supports data research, verification, collection, marketing, sales research, and related business workflows through search and API access. To explore those options as part of your research process, Get Started.
Getting familiar with how to use EnformionGO’s search and API products is very helpful in deciding what products you’ll want to use. We’ve created this quick start guide to walk new users through how to use EnformionGO. Happy searching!