Financial Reporting Dashboard
Financial reporting relied on manual spreadsheet work that was slow and error-prone.
Outcome: Automated pipelines fed consistent Power BI reporting, reducing manual effort and errors.
- Python
- SQL
- Power BI
Service
Dashboards and Data Solutions
Reporting and dashboards that bring scattered data together into clear, trustworthy management information.
Problems we address
Does this sound familiar?
- Reports are spread across spreadsheets that are slow to update and easy to break.
- Different systems disagree because there is no single, reconciled view.
- Leaders lack timely KPIs to make confident decisions.
- Geographic or operational data is hard to visualise.
Capabilities
What this includes
- Power BI dashboards
- Custom React dashboards
- Real-time reporting
- Data consolidation
- Python and SQL transformation
- KPI and management reporting
- Geographic visualisation
- Automated reports and exports
Example solutions
What it can look like
- A management dashboard consolidates figures that previously lived in several spreadsheets.
- An automated pipeline refreshes KPIs on a schedule instead of by hand.
- Operational data is mapped geographically to reveal patterns by location.
Delivery approach
How delivery works
Discover
Agree the decisions the reporting must support and the trusted data sources.
Design
Define the data model, transformations and dashboard layout.
Deliver and improve
Build, validate the numbers, launch and automate refreshes.
Supporting evidence
Relevant technologies
Tools are chosen to fit the problem. This is supporting evidence, not the main sales message.
- Power BI
- React
- Python
- SQL
- Pandas
Related work
Relevant case studies
SAP and ArcGIS Asset Integration
Equipment records in SAP and spatial asset layers in ArcGIS could not be viewed or reconciled together.
Outcome: A reconciled, mapped view connected enterprise equipment data with its real-world location.
- SAP OData
- ArcGIS REST
- Python
- JSON/CSV processing
FAQ
Frequently asked questions
Yes. Existing tools are used where they fit. A custom React dashboard is only recommended when it adds clear value over an off-the-shelf option.
Sources are agreed up front, transformations are documented and figures are validated against known values before launch.
Yes. Data collection and transformation can run on a schedule so dashboards and exports stay current without manual work.
Ready to talk about dashboards and data?
Tell us what you are trying to achieve and we will suggest a sensible first step.