Microsoft Power BI Training for Two Separate Organisations
How targeted workshops helped organisations move from manual reporting to scalable, insight-driven decision making
Most organisations already have data.
The issue is how effectively they use it.
In many cases, reporting is still built around spreadsheets, manual processes and static outputs. This creates friction, limits visibility and makes it difficult to extract meaningful insight.
Microsoft Power BI is designed to address this.
It enables organisations to connect to multiple data sources, structure that data into models and present it through interactive, real-time dashboards.
However, adopting the tool is not the same as using it effectively.
In this case, two organisations engaged The Curve to deliver Power BI workshops, each with a different objective:
One needed to improve internal reporting and data quality
The other wanted to explore how data could be used more effectively and efficiently at scale
The goal was not technical training alone, but to show how Power BI could solve real business problems.
The Problem
Both organisations were operating with data, but not getting full value from it.
Organisation 1: Manual reporting limiting commercial value.
Inspection data was being collected in the field and manually transferred into spreadsheets. This created multiple issues:
Data inconsistencies (formatting, missing fields, duplication)
Manual effort required to collate and report data
Limited ability to analyse trends over time
Static reporting that lacked flexibility
At the same time, the business was entering a competitive tender process, where demonstrating improved reporting and insight could directly influence the outcome.
Organisation 2: Process inefficiency at scale.
The second organisation was highly proficient in Excel but operating at scale. Their process involved:
Extracting data from systems into files
Passing data between individuals
Manually updating and maintaining reports
This created unnecessary overhead and slowed down access to insight.
Across both, the core issue was consistent: Data existed, but the process around it was inefficient, manual and limiting its value.
The Challenge
Improving data quality and trust
Poor data quality reduces confidence in reporting.
Any solution needed to surface and address underlying issues, not just visualise outputs.
Removing manual effort from reporting processes
Both organisations were spending time moving, cleaning and structuring data manually.
This needed to be automated.
Turning reporting into a commercial advantage
For one organisation in particular, reporting was not just internal, it was part of how they demonstrated value to customers.
Enabling teams to work with data directly
Rather than relying on developers or static reports, teams needed the ability to explore and interact with data themselves.
The Solution
The Curve designed and delivered tailored Power BI workshops that helped organisations transform manual, spreadsheet-driven reporting into scalable, insight-led decision making. Using real business data and operational scenarios, the workshops demonstrated how to identify data quality issues, automate data ingestion and reporting workflows, and build dynamic dashboards connected directly to live systems, enabling faster access to insight, improved operational efficiency and stronger commercial reporting capability.
Our Approach
The Curve delivered two tailored Power BI workshops, built around real business scenarios rather than generic examples. Where possible, live data was used to ensure relevance and immediate impact.
Exposing and fixing data issues
Using Power BI’s data ingestion and transformation capabilities, we worked through real datasets to:
Identify inconsistencies and errors
Highlight missing or incomplete data
Demonstrate how these issues impact reporting
This gave teams visibility into problems they were previously unaware of.
Replacing manual processes with automated workflows
We demonstrated how Power BI could:
Connect directly to source systems and databases
Automatically ingest and update data
Remove the need for manual file handling and rekeying
For one organisation, this eliminated the need to copy inspection data from forms into spreadsheets.
Enabling dynamic, multi-layered reporting
The workshops showed how to move from static reports to interactive dashboards that:
Adjust across different time ranges and levels of detail
Serve multiple users, from operational teams to leadership
Allow exploration of trends rather than fixed outputs
Positioning Power BI as an alternative to custom build
A key part of the approach was demonstrating when Power BI is a better solution than building bespoke reporting systems. This allowed organisations to:
Avoid unnecessary development cost
Empower internal users directly
Move faster from data to insight
The Results
Data quality issues identified and addressed: Both organisations gained visibility into inconsistencies within their data, enabling them to improve how it is captured and maintained.
Manual reporting processes reduced: Tasks such as copying, cleaning and restructuring data were significantly reduced or removed entirely.
Faster access to insight: With automated data ingestion and structured reporting, teams can access up-to-date information without manual intervention.
Greater operational efficiency: By removing unnecessary process steps and enabling direct access to data, both organisations reduced internal friction.
Internal capability has now been established giving teams the knowledge and confidence to: Build their own dashboards, connect to new data sources and continue evolving their reporting capability
“The workshops showed us not just what Power BI can do, but how we can actually use it in our business. It’s changed how we approach reporting and highlighted issues in our data we didn’t even know existed.”
"We realised that Power BI is not just a reporting tool. Used effectively, it becomes a way to improve data quality, reduce operational overhead and strengthen how we make decisions and present value. By focusing on real-world application rather than theory, The Curve helped us move from manual, fragmented processes to a more scalable and commercially valuable approach to data."