Golden Record Assembly
Every important element in your business model, a client, a trade, an asset, exists in disparate sources. Elements sit in legacy databases, data lakes, vendor systems, and trading systems, each with its own identifier scheme, its own update cadence, and its own opinion about the truth. 3forge stitches those fragments into a single authoritative record and keeps it current as events arrive, not as a nightly snapshot.
The Challenge
One Entity, Many Truths, Reconciled Nightly
The same client, trade, or asset exists as fragments across CRMs, order systems, data lakes, and live feeds, each with its own identifiers and update cadence. Assembling one authoritative view, and keeping it current as those sources change, stays hard even with a well-run master-data program.
Fragments across systems
An entity carries different keys and attributes in each system, so resolving it reliably needs both exact-key joins and fuzzy matching.
Batch lags the business
A record assembled overnight can be stale by morning, after trades settle, clients onboard, and static data changes during the day.
Deciding which source wins
When sources disagree on a field, choosing the surviving value by priority, recency, or confidence is a deliberate modeling decision per attribute.
Provenance for audit
Explaining why a field holds a given value, which source set it and when, is far easier when lineage is captured as the record is built rather than reconstructed later.
The 3forge Approach
Continuous Entity Resolution in a Live Runtime
3forge connects to every source system through the Data Gateway, normalizes records into a shared data model, and runs matching, survivorship, and lineage logic in AMIScript over a real-time in-memory representation. The golden record is recomputed incrementally as inputs change, with full attribute-level provenance retained in the column store for audit and replay. Every consumer reads the same continuously assembled view.
Key Capabilities
What You Can Build with 3forge
Deterministic and Fuzzy Matching
Combine exact-key joins with configurable fuzzy matching on names, addresses, and identifiers to resolve fragments that no single key can link.
Per-Attribute Survivorship
Express which source wins for each field using AMIScript rules, with explicit priority, recency, and confidence weighting that auditors can read.
Incremental Recomputation
Recompute only the affected golden records when a source row changes, instead of running a global batch every night.
Cross-Domain Joins
Resolve clients, trades, accounts, and instruments into linked golden records that travel together to downstream applications.
Attribute-Level Lineage
Trace every field of every record back to its contributing source, timestamp, and survivorship rule, persisted in the 3forge column store.
Operations Cockpit
Build a workbench that surfaces unresolved entities, low-confidence matches, and conflicting attributes for human review, with one-click resolution that updates the live record.
Get started
Ready to see it live?
Book a 30-minute demo with a 3forge solutions engineer and see continuous golden record assembly running over a representative slice of your sources.