Microsoft · Technologies
Power BI
Reports people actually trust.
Power BI turns your data into reports and dashboards, and it now lives inside Microsoft Fabric, reporting from OneLake through governed semantic models. We build reporting that ends the argument about whose numbers are right.
REPORT ESTATE · EXAMPLE WORKSPACE
REPORT
SOURCE
REFRESH
STATUS
Exec-Scorecard
Semantic model
Hourly
HEALTHY
Sales-Pipeline
Dataverse
Daily
HEALTHY
Finance-Pack
Fabric warehouse
Nightly
HEALTHY
Ops-Dashboard
Mixed sources
Daily
REVIEW
excel-export-v9
Manual
Ad hoc
RISK
Sample workspace
healthy · review · risk
In plain terms
Two dashboards, two answers, zero trust.
Reporting works when everyone draws from the same well. Here is what changes.
Without the work
- Reports hand fed from exports and email attachments
- Each team defining revenue slightly differently
- Dashboards multiplying while trust shrinks
- Leaders deciding on gut feel because the numbers argue
With the work
- Reports refreshing from governed semantic models
- One definition of each metric, agreed and enforced
- Certified reports people cite in meetings
- Decisions made on numbers nobody disputes
What CG TECH can do with Power BI
The work, broken into the parts that matter.
Semantic models are the secret
The dashboard is the last step. The work is the semantic model underneath: agreed definitions, governed sources and certified datasets that every report draws from.
one version of the truth, enforced
Let the teams build, safely
Analysts build their own reports on certified models instead of raw exports, so self service grows without the sprawl.
freedom on a foundation
Ask the data a question
Copilot answers plain language questions from your semantic models, and Microsoft 365 Copilot can now reason over Power BI data in the flow of work. The quality of answers tracks the quality of the model, which is where we focus.
answers in plain language, grounded in your model
Reporting without the exports
Power BI is part of Fabric, reporting straight off OneLake. No more nightly CSV shuffles feeding fragile reports.
reports fed by the platform, not by hand
How an engagement runs
From dashboard arguments to trusted numbers, step by step.
01
Discover
We map your reports, sources and where the numbers disagree.
02
Design
Semantic models and workspace structure that end the arguments.
03
Build
Certified models and the reports that matter, delivered.
04
Handover
Analysts trained to build safely on the foundation.
Questions we hear a lot
Common questions about Power BI
What is Microsoft Power BI?
Power BI turns your data into reports and dashboards people can use. It now sits inside Microsoft Fabric, reporting from the OneLake storage layer through governed semantic models, which is what stops two reports disagreeing about the same number.
Why not just use Excel?
Excel is brilliant for analysis and terrible as a distribution system. Power BI gives you refreshed, governed, shareable reporting, and it still plays nicely with Excel where Excel is the right tool.
How is Power BI licensed?
Per user Pro and Premium Per User licences, plus Fabric capacity for larger estates. We size the right mix during discovery.
We have hundreds of reports and nobody trusts any of them. Where do we start?
With the metrics that run the business. We build certified semantic models for those first, retire the duplicates, and grow from a trusted core rather than trying to fix everything at once.
Is our data safe in Power BI?
It inherits your Microsoft 365 security, with row level security controlling who sees what inside a report. Governance is part of the build, not an afterthought.
What is a semantic model and why does it matter?
It is the agreed definition of your measures, sitting between the raw data and the reports. It matters because it is the thing that makes revenue mean the same in every report. Without one, each report author invents their own and the arguments start.
Why do people stop trusting reports?
Almost always because two reports disagree and nobody can explain why. It is rarely a Power BI problem. It is a definitions problem, and that is what we fix first when we are asked to rescue a reporting estate.
Can Copilot answer questions from our Power BI data?
It can, and the quality depends entirely on the model underneath. Asking an AI questions about ungoverned data produces confident answers that are wrong, which is worse than no answer. Governed models first, AI second.
Ready when you are
Want numbers people trust? Let us talk.
A discovery session maps your reporting, your pain points and your quick wins. You keep the plan either way.
What to expect
- A consultant replies within 4 business hours
- Session booked to understand your requirements
- We will provide you with a fixed price quote