Data, AI & Insight

A consolidated and reliable data foundation makes it possible to make fast, fact-based decisions at all levels. From operational management to strategic planning. When data becomes part of the company’s infrastructure, new possibilities arise to drive efficiency, innovation and results.  

 

Technologies we often use: 

• Microsoft Fabric (OneLake, Synapse, Data Pipelines): central platform for data storage, modelling and management. 

• Power BI: advanced analytics, visualization and reporting. 

• Azure Data Factory / Synapse Link: efficient data flows from ERP, MES, PLM and IoT. 

• Azure IoT Hub / Event Hub: collection and management of real-time data. 

 

Typical deliveries: 

• Data Foundation Blueprint: target architecture, data models and governance structure. 

• Integration flows between ERP, MES, IoT and external sources. 

• Production and management dashboards in Power BI. 

• Workshops for KPI harmonization across departments and business areas. 

 

Roles that typically participate:  
Data Architect, Data Engineer, BI Developer, and ERP Integration Specialist. 

Through structured data governance, quality assurance and traceability, you ensure that decision-support meets the highest standards. When data is correct, traceable and protected, insights become both reliable and directly usable in the organization. 

 

Technologies we often use: 

• Microsoft Purview (Fabric): data governance, cataloging, and classification. 

• Azure Active Directory / Entra ID: secure access and role-based control. 

• Data Quality Services / Fabric Dataflows: data cleansing, validation and standardization. 

 

Typical deliveries: 

• Data catalog and lineage model that gives traceability from source to report. 

• Data reporting in compliance with regulatory requirements (CSRD, ISO, GDPR). 

• Data Governance Framework with roles, policies and ways of working. 

• Security and access model including RBAC and audit trails. 

 

Roles that typically participate:

Data Governance Lead, Security Engineer and BI Architect. 

A scalable data platform combined with modern AI techniques creates concrete business value. From predictions and automations to decision-support that strengthens the organization’s competitiveness. AI becomes a natural part of daily operations and drives both efficiency and innovation. 

 

Technologies we often use: 

• Azure Machine Learning Studio / Fabric AI Notebooks: development, training and evaluation of ML models. 

• Azure AI Studio & Copilot Studio: generative and conversational AI solutions. 

• Power BI Copilot: AI-driven reports and analytical support. 

• Azure Cognitive Services (Vision, Language, Speech): ready-made AI modules for quick implementation. 

• Azure IoT Edge / Digital Twins: enables predictive maintenance and advanced simulations. 

 

Typical deliveries: 

• Predictive models for e.g. maintenance, quality or demand planning. 

• Automated processes via Power Automate or Copilot solutions. 

• AI-driven dashboards with real-time recommendations. 

• Digital Twin prototypes for simulation and optimization of processes. 

 

Roles that typically participate:

AI/ML Engineer, Data Scientist, BI Developer, Cloud Engineer. 

A clear target vision, well-thought-out architecture and a sustainable governance model form the basis for data-driven decision-making that stands the test of time. Focus shifts from ad-hoc efforts and trends to a structured and future-proof development journey. 

 

Technologies we often use: 

• Microsoft Cloud Adoption Framework & Azure Well-Architected Framework: establish principles, structure and best practices. 

• Fabric Admin Portal / Purview Hub: continuous governance and oversight of data and platform management. 

 

Typical deliveries: 

• Data & AI strategy document with target vision, roadmap and priorities. 

• Architecture and platform design for a scalable and sustainable data platform. 

• Competence and organizational plan for data-driven roles and responsibilities. 

• Metrics framework for ROI, impact and maturity level. 

 

Roles that typically participate:

Senior Data Advisor, Enterprise Architect, Program Manager. 

Thought-through processes that connect data, people and business goals ensure that insights translate into action. When operational flows, collaboration and follow-up are driven by up-to-date data, measurable results are created in everyday work. 

 

Technologies we often use: 

• Power Automate / Power Apps: operational automation and user-facing solutions. 

• Microsoft Teams / Copilot / M365: data-driven collaboration and decision support in everyday work. 

• Power BI Goals & Scorecards: goal management and follow-up with real-time data. 

 

Typical deliveries: 

• Data-driven workflows linked to KPIs and prioritized goals. 

• Automated alerts and actions upon deviations or trends. 

• Performance scorecards linked to business objectives and measurement models. 

• End-user training in data-driven working methods and decision support. 

 

Roles that typically participate:

BI Lead, Process Owner, Change Manager, and M365 Specialist.