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. Senior-only execution. No hand-offs.

75% Regulatory Reporting Time Reduction
€1M+ ARR Enabled via SaaS Platformization
500+ Daily Users on Production Systems
90% Error Reduction in Data Processing
"Full governance trail from day one. Audit-ready outputs across 30+ EU member states with production stability we can stand behind." — Head of Analytics, Financial Services

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

The Katonometrica Production Systems Framework

Every engagement follows a structured methodology designed for regulated environments.

1

Assess

2–4 weeks

Infrastructure audit, data flow mapping, compliance gap analysis

Deliverables
  • Architecture assessment report
  • Risk & compliance gap register
  • Proof-of-value prototype
2

Prove

2–4 weeks

Scoped proof-of-value sprint with validated success criteria

Deliverables
  • Working prototype
  • Validated success metrics report
  • Go/no-go decision brief
3

Build & Validate

4–20 weeks

System design, pipeline development, validation

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

Operate & Evolve

Ongoing

Managed infrastructure with SLA guarantees

Deliverables
  • Ongoing monitoring
  • Quarterly reviews
  • Infrastructure evolution plan
4–24 weeks typical timeline

Client Results

"Production-grade reporting infrastructure across 30+ EU member states. Audit-ready compliance outputs with full governance trail."
— Head of Analytics, Financial Services, Madrid
"From fragmented manual processes to a production SaaS platform serving 500+ daily users. Infrastructure-grade stability from day one."
— Technical Director, Healthcare Tech, Barcelona
"Clear communication throughout. They understood our regulatory constraints and built compliance into the system from day one."
— Operations Manager, Insurance, Valencia
"Continental-scale reporting infrastructure delivered on time. Reproducible governance trail across 30+ member states — exactly what institutional compliance demanded."
— Programme Director, European Regulatory Agency

Industries We Serve

Regulated, data-intensive organizations where compliance, reliability, and integration complexity are non-negotiable.

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: Baseline: regulatory and internal reporting relied on manual analyst workflows taking 8+ hours per cycle. Constraint: live EU regulatory submission deadlines with zero tolerance for late or erroneous filings. Scope: end-to-end pipeline industrialization across compliance and fund-reporting workflows, with mandatory audit lineage.

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: Baseline: national-level reporting systems operated as ad-hoc scripts with no reproducibility or unified view across 30+ EU member states. Constraint: institutional governance requirements, audit traceability, and multi-state data format heterogeneity. Scope: production reporting infrastructure deployed under public-sector oversight with containerized environments and role-based access controls.

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: Baseline: clinical and operational data fragmented across heterogeneous systems with no unified analytics capability. Constraint: patient data governance, operational continuity, and multi-unit data ownership. Scope: data integration pipelines, centralized analytics layer, and interactive dashboards serving 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 · Web Frameworks · Cloud Infrastructure

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

The KATONOMETRICA Production Systems Framework™

Every engagement follows a structured methodology designed for regulated environments where compliance, reliability, and auditability are non-negotiable.

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

Senior-Only Infrastructure Execution

Founder-led. Senior execution. Zero 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

We understand trust matters. Verify our credentials, then begin with a Proof-of-Value Sprint to evaluate fit before larger commitments. Scoped engagement with 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.

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Ready to Discuss Your Infrastructure Needs?

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

info@katonometrica.com · Alicante, Spain