Skip to content

Service Architecture

BI: Data analysis systems of engineering precision.

We design and deploy custom BI solutions that turn scattered data into a clear strategic foundation for decision-making.

Core EnginePredictive / SupportArchitectureModular / High-Density
01 / Capabilities

We focus on building tools that don't just display data — they direct management action through deep analytics.

01_VIS

Cognitive dashboards

An advanced user interface for interacting with data. We don't just show charts — we build narrative-driven interfaces that reveal anomalies, trend shifts, and the factors affecting return on investment in real time.

  • Interactive drill-down exploration
  • Multi-source integration in real time
  • Executive mobile cockpit
02_PRO

Algorithmic forecasting

A shift from a descriptive approach to a prescriptive one. Our risk-management models account for market volatility and supply-chain disruptions, delivering a 12-month forecast for risk management.

  • Time-series demand forecasting
  • Customer churn prediction models
  • Automated anomaly detection
03_ENG

Unified data engineering

We build an infrastructure of trustworthy data. We design high-performance ETL pipelines that clean, normalise, and protect data from ERP, CRM, and IoT systems, consolidating it into a centralised lakehouse.

Fault tolerance

Data-processing pipelines that recover automatically after failures, maintain 99.9% availability, and self-heal errors.

Minimal latency

Sub-second responses to queries even on multi-terabyte datasets — through vectorised computation.

Compliance

Built-in PII masking and data-lifecycle management in line with SOC 2 standards.

Scalability

A cloud architecture that scales elastically under peak load and keeps stable performance even as data volume grows sharply.

Data visualisation

Building interactive, high-information-density dashboards. Eliminating visual noise to focus on key KPIs.

Predictive analytics

Mathematical modelling of trends and risk forecasting from historical data using open ML libraries.

Decision support systems

Building automated recommendation algorithms that optimise operational processes and supply chains.

02 / ArchitectureModular Structural Logic
1

Layer 01 / Extraction

Data Extraction: connectors to ERP, CRM, and external APIs. Stream cleaning and normalisation.

2

Layer 02 / Processing

Processing Engine: SQL- and Python-based infrastructure. Data transformation and aggregation.

3

Layer 03 / Insights

Insight Layer: final visualisation and access interfaces for decision-makers. APIs for external systems.

03 / Toolstack
Back-End / LogicPython
Data StoragePostgreSQL
ProcessingSQL / DBT
ScienceR / Pandas

Technological sovereignty

We use exclusively open technologies and frameworks, ensuring full independence from foreign vendor licences and cloud providers.

04 / Impact

-85%

Time to produce reporting

+40%

Demand-forecast accuracy

0.1s

Data-refresh latency

100%

Financial-flow transparency

Trust & Security

Governed analytics

Business intelligence is only as trustworthy as its governance. Every number is permissioned, defined once, and traceable back to its source.

Row-level security

Dashboards enforce row- and column-level permissions, so each viewer sees only the data in their scope.

Certified metrics

A governed semantic layer gives every KPI one audited, organisation-wide definition.

Query & export audit

Every query, filter, and export is logged and attributable.

Encryption

AES-256 at rest and TLS 1.3 in transit across the entire reporting stack.

Ready to go deeper?

Tell us what you're trying to structure, connect, or control — we'll map the right architecture for your team.

Get the specification