Mappings
Every data point across projects
The dimensions, objects, and derivations the organization consolidates from every connection, how source values reconcile into them, and where each one comes from.
Labor hours / car
Which approved hours count, how they match a cycle, and why the shop scoreboard runs high.
7 approved1 need review
Configuration
Derivation · reads 3 connections
Reconciles into
Labor Hours / CarLABOR_HOURS_PER_CAR
3 canonical values · 8 treatments
Time basis
Release date
The date every input aligns on.
Formula
SUM(LABOR_HOURS.regular_hours + LABOR_HOURS.overtime_hours WHERE charge_type = 'direct' AND is_approved) / COUNT(DISTINCT VOLUME.car_cycle_id)
Canonical values
3 targets. Every approved treatment resolves to one of these.
- Direct hoursHOURSApproved direct hours matched by work order
3 values - Released carsCARSDistinct cycles released in the month
1 values - Hours per carHPCThe metric, against prior figures2 values
Tell Eagle how to reconcile
Plain English. Eagle re-treats the matching rows and says what it did.
Instructions in effect
Nothing yet. Anything you say is applied to the table and kept for new source values.
Select rows to preview how they combine into a canonical value. Click a source value to inspect or edit its treatment. Hover a confidence to see why.