EN

Data intelligence

Data strategy and architecture

We design data strategy and architecture aligned with the business and organised for efficient, secure and scalable use.

  • Data strategy and governance
  • Modern architectures (cloud, hybrid)
  • Data modelling and management
  • Data platforms and data lake/lakehouse

Data analytics

We transform data into useful, actionable information to drive better decisions.

  • Descriptive, predictive and advanced analytics
  • Business intelligence and dashboards
  • Data visualisation
  • Self-service and business analytics

Data engineering

We develop and implement robust, efficient and scalable data flows adapted to each organisation's technology environment.

  • Data ingestion and processing
  • ETL/ELT and workflow orchestration
  • Integration with multiple sources
  • Cloud and real-time solutions

Data quality, security and governance

We ensure reliable, secure data and regulatory compliance throughout its lifecycle.

  • Data quality and traceability
  • Security and privacy
  • Data governance and cataloguing
  • Regulatory compliance (GDPR, etc.)
Globo holográfico y paneles de datos

FROM DATA TO DECISION

A reliable, governed data capability that the business can use

We work from strategy and architecture through engineering, quality, governance and analytics. The goal is to connect sources, organise the data lifecycle and help business and technology teams work with consistent, actionable information.

PROBLEMS WE SOLVE

Available information that does not yet work as an asset

Fragmented sources

We integrate multiple sources and build traceable ingestion and processing flows.

Uneven data quality

We define quality controls, cataloguing, lineage and governance responsibilities across the lifecycle.

Slow or inconsistent reporting

We organise models, business intelligence, dashboards and self-service around understandable metrics.

Architectures that do not scale

We design cloud or hybrid platforms, data lake/lakehouse and real-time processing where the context requires it.

METHOD

Build from business questions

  1. AlignWe prioritise decisions, indicators, users and relevant sources.
  2. Design and governWe define architecture, models, security, privacy, quality and responsibilities.
  3. Build flowsWe implement ingestion, ETL/ELT, orchestration, integration and processing.
  4. Activate and improveWe deliver analytics, visualisation and self-service with continuous quality monitoring.

ESTABLISHED TECHNOLOGIES AND PATTERNS

Components already present in the data capability

  • Data lake
  • Lakehouse
  • ETL/ELT
  • Business Intelligence
  • Dashboards
  • Real-time processing
  • Cloud and hybrid architectures

OUTCOMES

More reliable and usable information

  • A more consistent view across sources, models and indicators.
  • Less manual work preparing and reconciling information.
  • Greater traceability, security and control over the data lifecycle.

LET'S TALK ABOUT YOUR DATA

Do you need to organise, connect or activate your organisation's information?

We can review sources, architecture, governance and analytics use cases to define a concrete next step.

Talk about data