Where EternityArc fits into how you already work
The same five services — MDM, Data Quality, ETL, Orchestrator and BI — solve different problems depending on where duplicate, siloed or untrusted data is costing you time. Here is what that looks like in 12 industries, step by step.
Client records without the manual reconciliation
Onboarding, risk, and compliance teams each maintain a separate client record pulled from core banking, CRM, and a KYC vendor feed. Reconciling them for a regulatory filing takes days of manual cross-checking.
ETL pipelines bring all three sources in, validation rules check the fields a filing requires and reject what fails, and match & merge consolidates them into one client record with attribute-level lineage back to source. Approval workflows put changes to key fields in front of a reviewer first.
An auditable, single client record with traceable lineage — reconciliation that used to take days happens as records land.
Walk through it step by step 5 steps
- A pipeline joins the KYC feed to core banking on account number and stages the result.
- Validation rules check legal name, date of incorporation and registration number are present and well-formed.
- Match & merge consolidates the client, recording which source supplied each field.
- A change to a key field — legal name, tax residency — goes to a reviewer before it reaches the golden record.
- An Orchestrator flow runs the whole chain on schedule and its log becomes part of the audit trail.
- Fields on a filing traceable to a source
- Records held for review, and how long they wait
- Rows rejected per load, by rule
A single vendor master across plants and ERPs
Every plant runs its own ERP with its own vendor codes. The same supplier ends up registered a dozen different ways, so spend analysis and vendor-risk scoring understate real exposure.
An Orchestrator flow runs the extracts from every plant ERP, a shared vendor business entity is modelled once, and matching consolidates duplicate suppliers into governed golden records. A supplier hierarchy groups subsidiaries under their parent, and Insight360 rolls spend up enterprise-wide.
Procurement sees total spend per supplier and per parent company instead of per plant, surfacing consolidation opportunities and concentrated vendor risk.
Walk through it step by step 5 steps
- One flow runs each plant's extract in turn, so a late plant never blocks the others.
- Supplier names, tax IDs and bank details are matched across plants, exact on tax ID and fuzzy on name.
- Each plant's vendor code stays on the golden record as a cross-reference, so nothing downstream breaks.
- A hierarchy places each supplier under its parent company.
- Insight360 rolls spend up the hierarchy for procurement.
- Distinct suppliers before and after matching
- Spend that rolls up to a parent
- Plants still sending unmatched vendors
Policyholder 360 across claims, billing, and underwriting
A policyholder's claims history, billing status, and underwriting profile live in three systems that don't talk to each other, so adjusters and agents piece together context by hand on every call.
Match & merge resolves the same policyholder across claims, billing, and policy systems. View 360 shows adjusters and agents the golden record with every contributing source beside it, and an Orchestrator flow keeps it current as new claims and payments land.
Adjusters get full context on one screen instead of switching between three systems mid-call.
Walk through it step by step 4 steps
- Policyholders are matched on policy number where present, and on name, date of birth and address where not.
- View 360 shows the golden record with each source record beside it.
- A flow reloads claims and payments through the day, so the view stays current.
- Household relationships are kept in a hierarchy, so an agent sees the whole household.
- Calls answered from one screen
- Policyholders linked across all three systems
- Unmerge requests from adjusters
One student record from applicant to alumnus
Admissions, the student information system, finance, and alumni relations each create their own person record, so the same individual is contacted as an applicant, a student, and a donor who never studied there.
Match & merge links each person across systems at intake, survivorship keeps the most recently confirmed contact details, and record-level access rules limit each office to the records it is entitled to.
One person record across the whole lifecycle, with each office limited to the records it should see.
Walk through it step by step 4 steps
- People are matched on student ID where present, and on name and date of birth where not.
- Survivorship keeps the most recently confirmed email and address.
- Record-level rules limit each office to the people it is entitled to see.
- A nightly flow runs the loads and matching in order.
- People linked across the lifecycle
- Contacts sent to the wrong role
- Records each office can see
A guest profile that follows the guest
Reservations, the property system and the loyalty programme each hold their own guest profile. Preferences recorded at one property are lost at the next, and a loyal guest is greeted as a stranger.
Guest records from each property and channel are matched and merged into one profile; survivorship keeps preferences from the most recent stay, and approval workflows protect loyalty status changes.
Every property sees the same guest, with the same preferences and status, from booking to check-out.
Walk through it step by step 4 steps
- Guest records arrive from each property through a scheduled flow.
- Guests are matched on loyalty number, then on email and name.
- Survivorship keeps the most recent preferences and the loyalty system's status.
- A change to loyalty status goes to an approver first.
- Guests recognised across properties
- Status changes approved
- Profiles with preferences carried over
Different industries, the same three problems
Almost every scenario above comes down to one of these — and each maps to a part of the platform.
The same thing, recorded many ways
Match & merge resolves duplicates into one golden record, and View 360 lets stewards settle the borderline cases.
Nobody can say which value is right
Trust scores and survivorship pick a winner per field, and lineage shows which source it came from.
Reconciliation is a project, not a process
Pipelines and flows keep sources coming in, so matching happens as data lands rather than once a quarter.
A first project that pays for itself
Most teams don't start with every source. A typical first scope looks like this — and each step leaves something usable behind.
Pick one entity
Customer, supplier, product or asset — whichever duplicate is costing the most today.
Connect two sources
Enough to see real duplicates. Reject rules show you what each source is getting wrong.
Tune the match
Start strict, review the borderline pairs in View 360, and loosen the rules as confidence grows.
Publish, then add
Feed the golden record to one consumer, then add the next source without re-integrating the first.
Don't see your scenario?
Tell us what you're trying to consolidate, clean up or connect — we'll tell you which services fit.
