Knowledge extraction & data quality

Extracting and checking your business data

You need information from your approved sources in a form your team can use. Gateflow extracts the relevant facts, checks records for inconsistencies and defines how the data stays current. Source references and review steps make the resulting records traceable.

Web crawling & knowledge extraction

Gateflow crawls only sources the customer has approved, or connects files and systems under the customer's control. The data model states which facts are collected and how source addresses and incomplete or conflicting values are stored. An initial pilot can extract records from the agreed sources once.

Entity resolution & deduplication

Company and contact records are compared by selected identifiers and attributes. A high-confidence match can be proposed automatically; uncertain pairs are set aside for review. Merged records retain their source links and the name of the person who approved the merge.

Continuous data updates

In a separate operating assignment, Gateflow checks for changes in source information, updates affected records and reports failures. The customer sets the review frequency and decides which changes need human approval before other systems use the data.

What Gateflow delivers

• A source and permission inventory with a target record model.
• A repeatable extraction path with links back to source evidence.
• Entity matching, duplicate review and approved merge rules.
• A change-detection and refresh routine with failed-job alerts and an operating owner.

Delivery and acceptance

Gateflow starts with a sample and agrees which records count as correct. Ambiguous matches go to review. The final scope states refresh frequency, sources and error handling.

Where this fits

Useful when a company needs maintained company, customer or product facts and can authorize the sources.

What Gateflow needs to begin

You provide the permitted source list, examples of correct records and the fields that matter. Gateflow also needs to know which facts may be stored, who can review uncertain matches and how often the source is expected to change.

How Gateflow checks the result

Gateflow checks extraction accuracy against a sample that was not used to set up the extraction rules. Gateflow inspects source links, missing fields, false matches and duplicate decisions with you. A refresh test must show what happens when a source changes or a crawl fails.

What the customer receives at handover

The person responsible for operation receives documentation of the record model, extraction and matching rules, review queue, update schedule and failure alerts.