Data that builds business advantage.
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Data
Data is the fuel of modern business, and the ability to process and analyze it effectively is key to gaining a competitive advantage that drives the growth of modern organizations. We help our clients unlock the potential of data and translate it into real, actionable decisions that support growth, process optimization, and innovation.
We provide specialists in data science, data analytics, and data engineering who combine strong technical skills, business understanding, and hands-on experience working with large-scale data environments. Our experts deliver solutions based on advanced analytics, machine learning, and automated decision-making processes, supporting organizations in building data-driven strategies.
Data Architecture & Data-Driven Ecosystem Design
Design and implementation of consistent, scalable data architectures (Data Lake, Data Warehouse, Lakehouse) supporting both operational and strategic analytics. Our specialists build environments based on the Data Mesh approach, integrating data from multiple sources and supporting decentralized data ownership.
Data Integration & Processing (ETL / ELT / Data Pipelines)
Design and implementation of modern data processing workflows using tools such as Apache Airflow, dbt, Azure Data Factory, AWS Glue, and Kafka. We automate data flows, ensuring high data quality, freshness, and consistency across the organization.
Data Quality (Data Quality & Data Cleansing)
Development of data control, validation, and cleansing mechanisms. We implement processes that ensure data reliability, error detection, and automated corrections, so business data remains complete and trustworthy.
Data Governance & Master Data Management
Building data and metadata management structures – from cataloging and classification to access and compliance policies. Our experts implement MDM and Data Catalog solutions (Collibra, Alation, Purview), supporting organizations in responsible information management.
DataOps & Data Process Automation
Implementation of DataOps practices, including automated testing, deployments, and monitoring of data processes. Through CI/CD approaches for data, we ensure quality and consistency throughout the entire data lifecycle.
Advanced Analytics & AI/ML
Implementation of machine learning models, predictive and prescriptive analytics. Data Science teams leverage platforms such as Databricks, Azure ML, SageMaker, and Vertex AI to forecast trends, automate processes, and increase organizational efficiency.
Business Analytics & Data Visualization (BI & Reporting)
Design of reports, dashboards, and analytical models using tools such as Power BI, Tableau, Looker, and Qlik. We create clear visualizations and analyses that support both strategic and operational decision-making.
Data.
Decisions you can trust.
Organize your data and unlock its value. Build business decisions based on reliable analytics.
Discover what tasks our IT teams can deliver for your organization
Logistics and Transportation
- Supply chain analytics – development of data warehouses and dashboards monitoring key KPIs for fleets, warehouses, and deliveries in real time.
- IoT and GPS data integration – design of data pipelines connecting sensor, vehicle, and TMS/WMS system data.
- Delay prediction and route optimization – implementation of ML models predicting delivery delays and recommending optimal transport routes.
Finance
- Advanced risk analytics and fraud detection – development of models identifying anomalies and irregular transactions in real time.
- Data Lake and data warehouse for regulatory analytics – consolidation of data from banking, CRM, and transaction systems for reporting to regulatory bodies (KNF / EBA).
- BI reporting and executive dashboards – design of analytical tools supporting strategic decision-making, compliant with DORA and NIS2 regulations.
Industry and Manufacturing
- Production process analytics (OEE, KPIs) – implementation of systems collecting data from production lines and analyzing efficiency.
- Predictive Maintenance – deployment of predictive algorithms using sensor and SCADA data to forecast failures.
- Integration of MES / ERP / SCADA data – creation of a unified data model and repository for real-time reporting.
E-commerce
- Customer behavior analytics and offer personalization – use of purchase data, RFM analysis, and AI to deliver personalized recommendations.
- Data Warehouse for omnichannel sales – consolidation of data from e-commerce platforms, CRM, marketing automation, and advertising systems.
- Conversion and campaign performance monitoring – implementation of BI systems to analyze marketing ROI in real time.
Healthcare
- Clinical analytics and medical reporting – design of systems analyzing patient data, test results, and treatment costs.
- HIS / RIS / LIS system integration – development of medical data warehouses with GDPR compliance and anonymization.
- Interoperability and data exchange standards (HL7 / FHIR) – implementation of solutions enabling secure data exchange between healthcare providers, laboratories, and insurers.
Other
- Data platforms for public administration – integration of data from multiple registries, reporting, and statistical analytics.
- Data Governance and metadata catalog implementation – deployment of data management policies and Data Catalog systems.
- Data Literacy programs – training and implementation of data-driven culture within organizations.
Top data experts.
Discover the key roles that drive your data strategy.
Tools that deliver value. We select proven technologies for your success.
Data Integration / ETL / ELT
Azure Data Factory, AWS Glue, Google Dataflow, Apache Airflow, Apache NiFi, dbt, Talend, Informatica, Matillion, Fivetran, Stitch
Data Storage & Warehousing
Azure Synapse Analytics, AWS Redshift, Google BigQuery, Snowflake, Databricks, Teradata, Oracle Exadata, SAP BW, PostgreSQL, Microsoft SQL Server, MongoDB, Cassandra
Data Lake / Lakehouse
Azure Data Lake Storage, Amazon S3, Google Cloud Storage, Delta Lake, Apache Hudi, Iceberg, Databricks Lakehouse, MinIO
Databases (SQL / NoSQL / Graph / Streaming)
PostgreSQL, MySQL, MariaDB, MongoDB, Cassandra, Redis, Neo4j, Elasticsearch, Apache Kafka, RabbitMQ, Amazon Kinesis, Google Pub/Sub
Business Intelligence (BI) & Visualization
Power BI, Tableau, Qlik Sense, Looker, SAP Analytics Cloud, Google Data Studio / Looker Studio, MicroStrategy, Sisense, Superset, Metabase
DataOps / Monitoring / Automation
Great Expectations, Monte Carlo, Soda, Apache Airflow, Prefect, Dagster, Jenkins, GitHub Actions, Azure DevOps, MLflow, Datafold, DataDog, Prometheus
Machine Learning / AI / Data Science
Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks MLflow, TensorFlow, PyTorch, Scikit-learn, H2O.ai, RapidMiner, DataRobot
Data Modeling & Governance
Collibra, Alation, Microsoft Purview, Informatica Data Governance, Atlan, Talend Data Fabric, Apache Atlas, SAP Data Intelligence, IBM InfoSphere, Erwin Data Modeler