Data Activation

Turn Processor Data Into One Operating Foundation.

Straata builds the normalized processor-to-warehouse foundation behind payout reconciliation, merchant-level P&L, forecasting, and oversight.

Processor Normalization SpineOne Canonical Model
RAW PROCESSOR FEEDS ONE NORMALIZATION LAYER CANONICAL WAREHOUSE OPERATING SURFACES Processor Feed ADAILYMID / DATE / GROSS / FEE Processor Feed BWEEKLYMERCHANT_ID / SETTLED / NET Processor Feed CMONTH ENDACCOUNT / EVENT / RATE / AMOUNT Portal ExportON DEMANDSTORE / BATCH / PAYOUT NORMALIZED PROCESSOR MODEL Ingest source files Map merchant identities Normalize fees Link payouts and residuals Review exceptions WAREHOUSE MODEL Merchant Transaction Fee Settlement period Residual Payout reconciliation Merchant-level P&L Forecasting Oversight DIFFERENT SHAPES / DIFFERENT CADENCES VALIDATE BEFORE DOWNSTREAM USE ONE CONSISTENT STRUCTURE RAW PROCESSOR FEEDS Feed ADAILYMID / DATE / FEE Feed BWEEKLYMERCHANT_ID / NET Feed CMONTH ENDACCOUNT / RATE Portal ExportON DEMANDSTORE / PAYOUT ONE NORMALIZATION LAYER Ingest source files Map merchant identities Normalize fees Link payouts and residuals Review exceptions CANONICAL WAREHOUSE Merchant / Transaction / Fee Settlement Period / Residual Payout reconciliation Merchant-level P&L Forecasting Oversight ONE CONSISTENT STRUCTURE
The Problem

Processor Output Does Not Arrive Ready To Run The Business.

When the data exists, but the business cannot run on it.

Source Condition RegisterDifferent Shapes / Different Cadences
01 / Identity

Processor names and identifiers do not match across source systems.

The merchant view breaks
02 / Timing

Timing and broken mappings keep residuals, payouts, and transactions from tying.

The money does not reconcile
03 / Control

Spreadsheets cannot sustain merchant-level P&L, forecasting, or oversight.

The operating layer stays manual
The Required Change

Normalize the source before finance, operations, or reporting depends on it.

What You Get

One Canonical Model Behind Every Operating Surface.

Every source lands in a canonical merchant, transaction, fee, settlement-period, and residual model. Validation happens before downstream use, so every report reads one consistent structure.

Normalized FoundationWarehouse Ready / Exception Aware
Model 01Merchant
Model 02Transaction
Model 03Fee
Model 04Settlement Period
Model 05Residual
01

Source inventory, access plan, and data contract

02

Agreed API, webhook, CSV, Excel, or portal ingestion

03

Merchant hierarchy and identifier mapping

04

Fee normalization, transaction linkage, and economic waterfall

05

Payout and residual reconciliation with exception handling

06

Warehouse-ready schema and exports, data dictionary, and runbook

Surface 01Payout Reconciliation
Surface 02Merchant-Level P&L
Surface 03Forecasting
Surface 04Oversight

Capability Proof / De-Identified

Normalization Capability, With The Limits Stated.

Every item below is a capability statement, not an engagement outcome. Structural marks a fact about how the market or system works, not an outcome of one engagement.

Capability RegisterDe-Identified / Honest Limits
Structural ~2K Merchant Accounts

Parsing is normalized to the penny across roughly two thousand merchant accounts.

Structural ~70% Per Processor Feed

Roughly seventy percent of per-processor parsing runs automated. The remainder is reviewed by hand, with exceptions visible rather than silently dropped.

Structural Human Review Exceptions Remain Visible

The remainder is reviewed by hand before it enters the normalized model.

Fit Check

Source Access And An Accountable Data Owner Are Required.

For payments operations, finance, and data teams with source access and an accountable data owner. Not for teams seeking a generic warehouse, an unsupported real-time integration without discovery, or a dashboard before the sources reconcile.

Best For

Payments teams operating from processor exports, portals, and disconnected reports.

Choose This When

The data exists, but finance and operators cannot reconcile or act on it.

Boundary

The work starts with the processor sources and accountable ownership. A generic warehouse or dashboard cannot substitute for reconciled data.

What Happens Next

Decide Whether The Foundation Or The Integration Comes Next.

Book a call to determine whether Data Activation is the next step. If the pipeline needs the integration built, continue to Payments Engineering. If the need is still being diagnosed, start with the Payments Diagnostic.