Digital Infrastructure & Production Analytics

KATONOMETRICA

Production-grade digital infrastructure for regulated, data-intensive organizations.

We build and operate decision systems with production lineage, embedded controls, and audit artifacts available on demand. Designed, built, and operated by the same senior engineers.

75% Regulatory Reporting Time Reduction
€1M+ ARR Enabled via SaaS Platformization
500+ Daily Users on Production Systems
90% Error Reduction in Data Processing

Infrastructure & Production Systems

We build, deploy, and operate digital infrastructure for organizations where compliance, reliability, and data integration are non-negotiable.

Production Reporting & Compliance Systems

Regulatory-ready reporting infrastructure replacing manual workflows with auditable, production-grade systems.

Deliverables

  • Pipeline schema & runbook
  • Audit-ready run log
  • Validation rules catalogue
  • Staging-to-production handover pack
75% Cycle-Time Reduction
~3 months delivery

Multi-System Data Integration & Analytics Infrastructure

Unify data from multiple sources into production analytics platforms for real-time operational intelligence.

Deliverables

  • Integration map document
  • ETL code + test suite
  • QA validation report
  • Anomaly detection setup
1M+ Data Points Processed
~4 weeks delivery

Platformization & Revenue-Grade SaaS

Transform internal tools into commercial SaaS products with multi-tenancy, billing, and the infrastructure your customers require.

Deliverables

  • Multi-tenant architecture document
  • Billing integration spec
  • SaaS migration playbook
  • Launch readiness checklist
€1M+ Revenue Enabled
~4 months delivery

Architecture & Infrastructure Modernization

Technical architecture assessment, infrastructure audit, and modernization roadmap before committing engineering resources.

Deliverables

  • Architecture assessment report
  • Modernization roadmap
  • Risk register
  • Migration playbook
~6 weeks delivery

Industries We Serve

Sectors where we have built and operated production systems.

Primary Focus

Financial Services

Regulatory reporting, capital allocation, risk infrastructure, and audit-ready analytics systems across multi-jurisdiction operations.

Healthcare

Clinical data integration, regulatory compliance, population health analytics, and production infrastructure for integrated delivery systems.

Insurance

Claims processing infrastructure, actuarial analytics, risk modeling, and regulatory compliance systems across jurisdictions.

Public Sector

Cross-agency data integration, regulatory reporting, institutional compliance infrastructure, and governance-auditable analytics systems.

Extended Experience

Logistics & Supply Chain

End-to-end visibility infrastructure, compliance tracking, and analytics systems for regulated movement of goods and materials.

Agriculture & Food Systems

Traceability infrastructure, compliance documentation, and production analytics for regulated agricultural operations.

SaaS & Technology

Platformization support, multi-tenant infrastructure, production analytics, and revenue-grade system architecture.

Results

Measured outcomes from production systems built and operated across finance, healthcare, logistics, agriculture, and public-sector environments. Client identities anonymized due to contractual constraints.

Selected Case Studies

Case Study Financial Services

Regulatory & Fund Reporting Infrastructure

Client: Large asset management organization, Europe
Context: Regulatory and internal reporting relied on manual analyst workflows taking over 8 hours per cycle, against live EU submission deadlines with zero tolerance for late or erroneous filings. We industrialized the pipelines end to end across compliance and fund-reporting workflows, with audit lineage on every run.

Work Delivered

  • → End-to-end orchestration of reporting pipelines
  • → Centralized data validation logic
  • → Web-based dashboards for internal stakeholders
  • → Programmatic generation of regulatory-ready reports

Technology: R Shiny · PostgreSQL · Docker · Microsoft Azure

75%Reporting Time Reduction
90%Manual Error Reduction
50+Daily Users
✓Stable Regulated Operation
Case Study Government / EU Institutions

Production Reporting Systems for a European Public Institution

Client: European public-sector health organization
Context: National-level reporting ran as ad-hoc scripts, with no reproducibility and no unified view across 30+ EU member states. The replacement had to satisfy institutional governance and audit traceability while absorbing heterogeneous national data formats. We deployed containerized production infrastructure with role-based access, operated under public-sector oversight.

Work Delivered

  • → Design and implementation of production-grade reporting systems
  • → Migration from ad-hoc scripts to reproducible pipelines
  • → Containerized deployments and monitored environments
  • → Secure access controls and role-based usage

Technology: R · R Shiny · SQL · Docker · Azure

✓Reliable Production
✓Reduced Analyst Dependency
✓Improved Auditability
✓Long-term Stability
Case Study Healthcare & Life Sciences

Unified Analytics Across Distributed Data Sources

Client: Healthcare organization with multiple operational units
Context: Clinical and operational data sat fragmented across heterogeneous systems, so no unified analysis was possible. Working within patient-data governance and multi-unit data ownership, we built integration pipelines, a centralized analytics layer, and interactive dashboards that now serve 500+ daily users across medical and operational staff.

Work Delivered

  • → Data integration pipelines across heterogeneous sources
  • → Centralized analytics layer
  • → Interactive dashboards for medical and operational staff
  • → Orchestration of recurring analytical workflows

Technology: Python

500+Daily Users
80%Reporting Time Reduction
✓Multi-System Integration
✓Single Operational View

Additional Experience

Case Study Agriculture & Market Analytics

Forecasting and Decision Systems for Global Markets

Client: International agribusiness analytics organization
Context: Sales forecasting relied on disconnected models and manual updates, limiting scalability and consistency.

Work Delivered

  • → Time-series and machine-learning forecasting models
  • → Production data pipelines feeding decision systems
  • → Deployment of models into operational workflows
  • → Ongoing maintenance and model iteration

Technology: Python · R · Machine Learning · Azure Databricks

✓Production Forecasts
✓Reduced Manual Handling
✓Cross-Region Consistency
✓Commercial Decision Use

Delivery Framework

Every engagement follows the same four phases, from first assessment to operated production system.

Phase 1 · 2–4 weeks

Assess

Infrastructure audit, data flow mapping, compliance gap analysis, and technical debt assessment.

  • Architecture assessment report
  • Risk & compliance gap register
  • Proof-of-value prototype
Phase 2 · 2–4 weeks

Prove

Scoped proof-of-value sprint delivering a working prototype against validated success criteria before full commitment.

  • Working prototype in client environment
  • Validated success metrics report
  • Go/no-go decision brief
Phase 3 · 4–20 weeks

Build & Validate

System design, pipeline development, validation against compliance requirements, and staged deployment.

  • Production pipeline + test suite
  • Audit-ready run log + observability dashboard
  • Compliance evidence package
Phase 4 · Ongoing

Operate & Evolve

SLA-backed production support, monitoring, incident response, and controlled system evolution as requirements change.

  • SLA contract + incident runbook
  • Quarterly performance report
  • Runbook & handover pack

Delivery Governance

Structured delivery practices for organizations that require predictability, auditability, and compliance at every stage.

Weekly Status Reports

Structured progress updates with blockers, decisions needed, and next-week priorities.

Change Control

Scope changes documented, impact-assessed, and approved before implementation.

Compliance Documentation

Audit trails, data flow documentation, and regulatory compliance artifacts included by default.

Risk & Escalation Management

Active risk register with defined escalation paths. Blockers surfaced in real-time, not at review cycles.

Engagement Model

A structured path from initial assessment to long-term infrastructure partnership.

About KATONOMETRICA

Founder-Led Execution

Founder-led, senior execution, no hand-offs.

We operate as a senior-only infrastructure consultancy. Every system is designed and delivered by experienced engineers who understand regulated environments, production reliability, and long-term maintainability.

What You Get

  • Direct founder access on every project
  • Senior execution, no junior hand-offs
  • Registered S.L.U. · CIF B21631403
  • EU-based, GDPR-compliant operations

Verify · Scoped Engagement

Verify our credentials, then begin with a Proof-of-Value Sprint (2–4 weeks) to evaluate fit. No lock-in.

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Marcelo Katogui

Marcelo Katogui

Founder & Principal

M.Sc. Econometrics (Universidad Torcuato Di Tella). R development contractor at ECDC; consulting roles at Kynetec and Market Fusion Analytics. Specializes in production-grade digital infrastructure for regulated, data-intensive organizations. Background in applied econometrics, forecasting systems, and data integration architecture.

marcelokatogui.com LinkedIn

Ready to Discuss Your Infrastructure Needs?

30-minute discovery call to assess infrastructure requirements and evaluate fit.

info@katonometrica.com · Alicante, Spain