ARCXA - Framing for Banking Leadership

Ready to govern migration at scale?

"arcxa migrates with control."

"ArcXA doesn't just map schemas—it preserves semantics. When you migrate Oracle → Snowflake, you're not just moving tables; you're preserving data lineage, compliance classifications, and governance policies, automatically."

 ARCXA USES TRIPLE STORE ARCHITECTURE AI POWERED MIGRATION ASSIST - Semantic Control Plane (SCP)

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Equitus ARCXA assist your existing migration ecosystem architecture, adding validation and control.  Contact us with any questions?

 

Layer-by-Layer Integration

Physical ETL & Execution Planes

Each platform exposes metadata differently:

1. Collibra: Already a catalog—but a passive one. Stores business glossary terms, ownership, lineage declarations (often manual), classifications. Doesn't enforce them.
2. Informatica: PowerCenter repositories (Java-based, XML DAGs, mapping metadata via REST API). ArcXA connects to the repository to extract source→target column mappings, transformation logic, session configs.
3. Fivetran: JSON connectors config + state metadata. Lightweight; ArcXA reads connector definitions to reverse-engineer pipeline DAGs.
4. Altran: ETL engine logs + DAG definitions (typically XML or proprietary format). Requires parser-per-dialect.

 Arcxa Semantic Control Plane (SCP) provides overarching semantic control and mapping intelligence plane that sits above data governance tools (Collibra) and movement engines (Informatica, Fivetran).

Arcxa SCP (Semantic Orchestrator): Intercepts data flows in real time, validating payload logic against Collibra policies before execution by Informatica or ingestion by Fivetran.

Risk-Adjusted Economics: The Real Value Multiplier

Banking faces three overlapping cost centers that ArcXA's SCP directly addresses:

 Arcxa -  De-risking Regulatory Compliance (Biggest Lever)

• A single compliance incident or data governance failure can trigger 4-6% of annual revenue in fines (GDPR, PCI-DSS, regulatory reporting errors

• Traditional ETL migrations are black-box—data transformation logic is opaque until it breaks in production

• SCP enables pre-cutover governance visibility: The semantic control plane models the entire data lineage, transformation rules, and compliance boundaries before migration
• Identify "hot zones" where customer PII, transaction records, or regulatory-reportable fields cross system boundaries
• Validate data quality thresholds at mapping stage, not after cutover
• Continuous governance enforcement post-migration (not audit-after-the-fact)

ROI proxy: Reduce incident probability from 15% (traditional migration) → 2% (SCP-mapped). For a $50B bank, a 13% reduction in regulatory risk is worth ~$650M in expected loss avoidance.

Operational Continuity & Hidden Downtime Costs

• Banking -  trading, payment settlement, and claims processing can't afford sequential "big bang" cutover
• Traditional migrations force choose-your-own-disaster: slow rollout (months of parallel operations = labor drain) vs. high-risk cutover (hit downtime, lose customer confidence)
• Triple-store + SCP enables incremental, reversible migration:
  • Gradually shift transaction flow while maintaining full bidirectional semantic consistency
  • Rollback at the semantic layer (not the schema layer)—no manual reconciliation
  • Parallel operations with verified data parity before final cutover
  
  
  
  

Faster Cross-System Analytics - Zero Trust Architecture ROI proxy: For a mid-size regional bank, reduce operational downtime from 48 hours (ETL migration norm) → 2 hours (SCP-coordinated). That's $8–12M in prevented trading/payment delays, restored confidence, avoided SLA breaches.

 Legacy Integration Economics (Speed to Insight)

• Insurance claims orgs, banking underwriting teams are drowning in siloed databases (mainframe, SAP, Salesforce, modern data lakes, custom apps)
• Connecting these with ETL pipelines is slow, fragile, custom-coded per pair
• SCP unifies fragmented schemas once:
• KGNN learns semantic equivalencies across legacy sources (mainframe claims code ≠ Salesforce stage, but they're semantically the same entity)
• One mapping. Multiple target databases.
• Shared governance layer across the entire data estate

Arcxa delivers financial results for banking CFOs and COOs, the economic case breaks down as:

ROI proxy: A P&C insurer with 12 legacy systems currently spends ~$2M/year maintaining point-to-point ETL. SCP consolidation could reduce that by 60% ($1.2M savings) while improving data freshness (hours vs. daily batches).

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Contact us to start a migration readiness assessment with ARCXA OR TRY IT FOR FREE ON GitHub or docker.

ARCXA Positioning

• Collibra: "We move governance from declaration to action. Collibra tells you what should happen; ArcXA makes sure it does happen."
• Informatica: "They move data. We move data with intent—every transformation carries semantic meaning and policy enforcement. Legacy tools don't know what they're moving; we do."
• Fivetran: "They sync tables. We sync tables within a governed semantic framework. Fivetran doesn't know what's downstream; ArcXA does."

Before vs. After Risk Metrics

Metric	Migration Without SCP (Collibra Passive)	Migration With SCP (Collibra Enforced)
Governance Execution	Post-hoc audit: Flags errors after corrupted data hits target tables.	Pre-execution gate: Blocks invalid transformations prior to write.
Silent Drift Rate	High: Schema/semantic changes silently break regulatory reports.	Zero: Immediate failure with direct rollback and alert triggers.
Audit Remediation Time	Weeks/Months: Manual tracing back through ETL pipelines.	Minutes: Traceable semantic lineage log with instantaneous root cause.
Compliance Risk Exposure	High: Relies on manual attestation and periodic batch scans.	Continuous: Real-time enforcement against live compliance rules.

Demonstrating Ease of Use in Banking Compliance

Arcxa Mapping and validation adds value in highly regulated banking environments (BCBS 239, SOX, GLBA), Arcxa focuses value efforts on four operational capabilities:

1. Pre-Migration Dry-Runs & Anomaly Detection

   • Demonstration: Run a simulated migration dry-run. Arcxa flags type mismatches, missing required regulatory fields, and logic failures before a single byte is permanently moved or transformed in target environments.

2. Cryptographic & Tamper-Evident Lineage

   • Demonstration: Show auditors exact transformation paths down to the value/rule level with cryptographic verification hashes. Compliance teams can trace any discrepancy back to its source field instantly.

3. Hybrid AI Mapping Assistance

   • Demonstration: Automatically infer business meaning from cryptically named legacy database columns (e.g., mapping CUST_LST_NM_01 to Customer.LastName) using combined statistical and semantic models. Analysts simply review and approve suggestions rather than authoring manual SQL mappings.

4. Portable, Reusable Ontologies

• Demonstration: Apply unified business rules once. When migrating adjacent systems (e.g., core banking to cloud data platform), reuse the established semantic rules instead of starting the project from scratch.

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SCP as Active Governance Bridge to ETL/Catalog Tools

For Collibra integration:

• Pre-Migration Semantic Enrichment: Feed ArcXA's SPO triple mappings INTO Collibra's lineage model before migration begins. This gives Collibra's governance rules actual semantic context—not just table-column relationships, but business meaning validation.
• Risk Validation Layer: The SCP validates all Collibra-governed transformations against banking compliance rules (e.g., no PII exposed, data residency preserved, audit trail intact) before they execute. Catches compliance violations at mapping time, not audit time.
• Impact Analysis Control: When legacy schemas change, the SCP models the impact on Collibra's lineage graph and propagates risk scoring automatically. Collibra shows lineage; SCP shows governance risk.

For Informatica partnership:

• Pre-Transformation Validation: Informatica's mappings translate SQL logic; the SCP pre-validates that the logical equivalence holds at the semantic layer. This catches transformation errors before code generation—dramatically reducing ETL rework.
• Semantic Transformation Logic: Rather than hardcoding transformations in Informatica, business analysts define mappings in the SCP's semantic model. Informatica becomes the execution engine, not the logic engine. Reduces Informatica maintenance burden.
• Cost Reduction Through Equivalence Checking: Show that SCP-validated mappings reduce Informatica testing cycles by 40-60% because logical correctness is proven before execution.

For Fivetran ecosystem:

• Managed ELT with Semantic Control: Fivetran handles the plumbing; the SCP handles the governance. Fivetran's table mappings get semantic validation—ensuring data consistency across managed transfers without requiring custom Informatica jobs.
• Post-Load Reconciliation Automation: After Fivetran ingests data, the SCP validates semantic correctness (cardinality, referential integrity, compliance constraints) automatically. Fivetran + SCP = managed risk, not just managed data.

Banking/Compliance Ease-of-Use Narrative

Arcxa - Eco-system flow:

1. Collibra governance rules → SCP ingests as constraints
2. SQL schema mapping → SCP builds SPO semantic model + identifies risk zones
3. Business user → Defines migration mappings in SCP UI (no SQL; semantic concepts)
4. Informatica/Fivetran → Executes SCP-validated, pre-approved mappings
5. Compliance dashboard → Real-time risk/cost metrics surface in SCP; feeds back to Collibra