Combine data from many systems into one corporate model that every business unit can report from.
This past airline analytics proof of concept had three clear goals. First, pull data from different systems. Second, define the master data that every business function shares. Third, build a corporate data model that serves different business units.
We used Power BI as the reporting layer on top of that model.
The case matters because the business problem was never "build a dashboard." The goal was a common data structure that every part of the organization could report from.
Para can reuse this analytics pattern wherever many systems and business units need a shared base for management information.
When several business units rely on the same information, a shared data model matters more than the first dashboard.
Why this matters
Large transport firms run many systems, each built for a different function. Reporting gets hard when those systems describe the same business ideas in different ways.
The proof of concept tackled that problem head on. The team had to bring the data together and agree on shared definitions before building any report.
That order matters. The model creates a shared meaning before Power BI presents it.
For Para, the case shows data architecture thinking as part of BI delivery. We did not treat analytics as front-end report design.
- Data pulled from many systems across the organization.
- Master data identified and shared across entities and business functions.
- A corporate data model that serves different business units.
- Power BI reports on top of the shared analytics structure.
- A reusable pattern for analytics across functions in complex organizations.
Airline Analytics POC Pattern
Multiple Source Systems
Master Data
Corporate Data Model
Power BI
Business Unit Insight
What the work looks like
Identify the source systems and shared business concepts
The POC starts by mapping the systems that supply data. It also maps the ideas that several business units must read the same way.
This separates master data from local operational detail.
Define the master-data layer
We define shared entities and reference structures so different business functions work from the same basic meaning.
Build the corporate data model
The analytics model structures data so many business units can use it. No unit has to build its own version.
This gives the reporting layer the shared base it needs.
Use Power BI as the consumption layer
Power BI presents the model through business unit reports and visuals.
So the dashboard sits on top of a defined data architecture. Nobody has to improvise the data structure inside the dashboard.
Para point of view
Master data matters to BI when reports share entities
If different business units use the same ideas, the reporting architecture needs shared definitions.
A corporate model cuts duplicate interpretation
No team should have to rebuild the same relationships from raw source data on its own.
A POC should prove the model, not pose as production
A POC proves its value by testing the data and reporting approach within a controlled scope.
Power BI is the final layer, not the whole solution
The dashboard is only as good as the source and model work beneath it.
What was delivered
Source-system map
The systems and data areas in the proof of concept scope.
Master data definition
The shared entities and reference ideas that business functions need.
Corporate data model
A structured analytics model built to serve many business units.
Power BI views
Reports on the shared data model for the approved POC audience.
POC findings
What the prototype showed about whether the data could support the reports.
Expansion considerations
The extra work needed before a wider production rollout.
Where it fits
This showcase shows Para's data architecture approach inside an analytics project.
Transportation / Airline
An industry where reporting spans many systems and business units.
Data Architecture
Master data and corporate analytics model design.
Data, BI & Analytics
Power BI on top of a structured data model.
Enterprise Architecture
Data links across systems and use by each business unit.
Explore related capabilities
Related advisory
- Data & BI Advisory
- Enterprise Architecture & Roadmapping
- Data Governance
Related solutions
Related platforms & assets
- Master-data patterns
- Corporate analytical-model patterns
- Power BI reporting patterns
Need reports across many systems and business units without a different data definition for each one?
Talk to Para about the systems and reports you need to bring together. A focused proof of concept can test the data model before you commit to a wider analytics program.