Data Engineering and Analytics

Winston supports IT departments in becoming strategic partners to the organization and business teams, leveraging cloud transformation and data intelligence as key drivers of performance improvement.

Architecture & data engineering

Designing a robust, scalable, and secure platform capable of collecting, cleaning, storing, and consolidating your strategic data

Selection and implementation of Data & Analytics architecture (cloud / hybrid / on-premise)
Creation, maintenance, and optimization of data warehouses, data lakes, and lakehouses
Industrialization and orchestration of data pipelines, with flow monitoring
Deployment, security, versioning, and environment management following DevOps best practices

BI and Analytics

Generating added value from your data through powerful and accessible business intelligence tools

Integration, consolidation, and modeling via data flows
Development of data models (cubes, datasets, reporting sources)
Design, optimization, and maintenance of dashboards and reports
Continuous improvement of BI processes

Data Governance & Quality

Ensuring the reliability, compliance, and traceability of your data for unified management and standardized, sustainable systems.

Implementation of governance and security rules
Management of data quality and master data
Monitoring and control of data reliability indicators
Documentation and best practices for data management

Business Support & Data Project Management

Ensuring alignment between business challenges and Data & Analytics solutions to foster understanding of business use cases and maximize adoption of data tools.

Analysis and formalization of business needs
Scoping and management of Data & BI projects
Support for data teams and knowledge transfer
Training and change management