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Product/Data Foundation
Data Foundation + ProcessingProduct system

Your warehouse stays yours. The path through it gets an owner.

Business data, processing, transformations, and queries run in your warehouse. What Polyform adds is a traceable, operable path — and a named person responsible for repairing it.

ONE RESULT, TRACED TO SOURCECUSTOMER-OWNED
Source system — commerceCONNECTED
Landed in your warehouseYOUR ACCOUNT
Transformation and tests EXECUTES THERE
Freshness check failedSTALE 2 DAYS
Repair owned by the expertINCLUDED
Result revalidatedPASSED
01 / The boundary

What stays yours, and what Polyform operates.

This is a claim about accountability, not about moving your data somewhere else.

Stays in your warehouse

The system of record

Business dataYour account
Processing and transformationsExecute there
Warehouse queriesExecute there
Ownership of the tablesYOURS
Polyform operates

The path and its repair

Product state and bounded result caches support the experience. They are not a second analytical warehouse.

LineageTestsFreshnessRun stateRepair ownership
Seen in the product

A source path you can operate.

Five screens covering connection, modelling, lineage, failure, and manual inputs.

D01INFRASTRUCTURE · STREAMS
Northlane connected data sources
What is connected, and how current it is
Sources landing into your warehouse, with sync state visible rather than assumed.
D02TRANSFORMATIONS
Northlane transformation tests
The logic, and its tests
Warehouse-resident transformation code with the tests that guard it, versioned and reviewable.
D03LINEAGE
Northlane data lineage
Both directions of dependency
From a number on a report back to the source row, and forward from a source change to everything downstream.
D04RUNS · FRESHNESS
Northlane freshness failure
The failure, named
The failed step, the last successful load, and the blast radius — the screen a repair starts from.
D05TABLES
Northlane uploaded table
The spreadsheet nobody owned
Manual inputs given an owner, a mapping, and a history instead of living on somebody’s laptop.
02 / Operability

A source path you can actually operate.

When something breaks, the useful question is not whether it broke. It is who finds out, how fast, and who fixes it.

Visible
Runs and freshness
Last successful loadDuration and volumeFailed step, named
Traceable
Lineage both ways

From a number on a report back to the source row, and forward from a source change to everything that depends on it.

Recoverable
A named repair owner
Ordinary maintenance and repair of the agreed foundation is part of the monthly relationship — not billed by the hour each time a data path needs attention.
What the infrastructure layer does

Processing, cleaning, and identity — not just a scheduler.

Identity
Resolution and stitching
The same person arriving from six systems with six keys becomes one customer, with the stitching logic visible and owned.
Processing
Cleaning and transformation
Warehouse-resident processing with the tests, freshness checks, and run history that make it operable.
Inputs
Large uploads and mapping tables
Big table uploads and mapping tables get an owner, a schema, and a history — instead of living in somebody’s spreadsheet.
Outputs
Materialized view exports
Push a modelled result back out as a materialized view for the other tools that need it.
AI-native
Embedded vector database
Similarity search built into the foundation, so AI steps can retrieve on meaning rather than only on exact matches.
Next step

Bring the number you cannot trace.

We will find the path behind it, and tell you honestly what it would take to make it dependable.

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