Modern data warehousing for payment companies — Snowflake, Databricks, BigQuery, Fabric. Dimensional models for authorization, clearing, settlement, and chargebacks with PCI DSS-aware tokenization, PAR-based cardholder linkage, and scheme reporting reconciliation.
Dimensional models linking authorization, clearing, settlement, and chargeback through stable identifiers (ARN, authorization ID, network reference) — enabling lifecycle analytics and chargeback-to-auth traceability.
Cardholder identity using Payment Account Reference and network tokens — same cardholder across PAN reissues and token-to-token changes. Enables cardholder-level fraud and customer analytics without PAN.
Scheme taxonomies encoded at the semantic layer — reason codes, decline categories, authorization timing matching Visa VAP and Mastercard MIP reports. Reconciliation against scheme data after every load.
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All payments technology services from Xylity.
Pre-qualified Data Engineering specialists for your payments projects. 4.3-day average, 92% acceptance.
Data engineering for payments — authorization streams, clearing/settlement, scheme reports with PCI DSS-aware architectu...
Microsoft Fabric for payments — OneLake for authorization, settlement, chargeback data with PCI DSS-aware configuration....
Data integration for payments — processors, schemes, issuers, banking partners, ACH/RTP/wire rails, and ISO 20022 migrat...
Business intelligence for payments — authorization rate, chargebacks, fraud bps, merchant analytics, and interchange das...
Snowflake dominates for payments companies — strong data sharing, proven PCI DSS v4.0 configurations, mature ecosystem. Databricks wins when ML for fraud and authorization is central. BigQuery for GCP-native orgs. Fabric for Microsoft-centric payments companies. The PCI DSS discipline and lifecycle linkage matter more than the platform choice.
We don't — PAN stays inside CDE. The warehouse holds PAR, network tokens, and first-6/last-4 where needed for analytics. Any analyst query that needs PAN runs inside the CDE with specific access controls; everything else runs against tokenized data. This is the only sustainable pattern for PCI DSS v4.0 at scale.
Yes. Pre-qualified data warehouse architects with payments experience — lifecycle linkage, PAR, network tokens, scheme taxonomies, and the PCI DSS v4.0 discipline payments warehouses require. 92% first-match acceptance.
Lifecycle-linked, PAR-based, scheme-reconciled — the dimensional model payments fraud, operations, and risk can trust.
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