Power BI and semantics
Requirements, dimensional models, DAX, Power Query/M, KPIs, RLS/OLS, performance and reporting.
ABOUT ACTIVECELL DATA
We connect architecture, delivery and the organisation's ability to evolve the solution.
ActiveCell Data designs and brings order to data platforms and BI systems — from data foundations to reporting, enterprise governance and AI readiness.
ARCHITECTURE · DELIVERY · ADOPTION
Connected capabilities from decision to operations.
We combine architecture and technical leadership in analytics and reporting systems with advisory work on how data teams and organisations operate.
Our work spans business goals, requirements and data modelling through architecture, integration, Power BI, Microsoft Fabric and DevOps to security, governance, adoption and production operations.
Technology, process and accountability therefore do not become separate initiatives. Architecture decisions are connected from the start to owners, standards and the team's ability to operate the solution.
Experience in capability development is applied through decision workshops, mentoring and knowledge transfer. It is not a separate training offer — user and team enablement is part of successful delivery.
EXPERIENCE
Experience spanning architecture through reliable production.
The figures describe the experience of our technical lead and the portfolio behind the ActiveCell Data delivery approach.
- 20 years
- of project and consulting work across data, BI and analytics systems
- 10+ years
- delivering enterprise solutions, semantic models and data platforms
- 50+
- end-to-end Data and BI projects in the consulting portfolio
CAPABILITIES
Areas that ActiveCell Data connects into one system.
Fabric and data warehouses
OneLake, Lakehouse, Warehouse, integration, ETL/ELT, data modelling, quality and observability.
Analytics and reporting systems
Architecture connecting sources, processing, semantics, reports and business decision processes.
Governance and security
Enterprise Power BI and Fabric governance, roles, ownership, access, standards, monitoring and cost.
DevOps and operations
Git, CI/CD, environments, testing, deployment, documentation and lifecycle control for BI solutions.
Adoption and AI readiness
Mentoring, support models, team development and preparation of data quality, semantics and accountability.
TEAM MODEL
A project team matched to the problem.
ActiveCell Data works through expert project teams led by a senior Data and BI architect and technical lead. Roles are matched to the scope, keeping decisions, architecture and delivery closely connected.
Architecture and technical leadership
Solution direction, standards, architecture reviews, estimates, risk management and technical accountability.
Data engineering and platform
Fabric, Lakehouse, Warehouse, OneLake, SQL, Azure Data Factory, Snowflake, dbt and ETL/ELT pipelines.
Power BI and semantic layer
Dimensional models, DAX, Power Query, KPIs, performance, RLS/OLS and reporting for distinct roles.
Governance, DevOps and adoption
Security, lifecycle, Git and CI/CD, monitoring, mentoring and knowledge transfer to the client team.
NEXT STEP
Discuss your data environment.
If the challenge spans technology, accountability and team practices, start by establishing a shared view of the situation.