Analytics & BICase study
Power BI Reporting Interface
Replacing a sprawl of Excel spreadsheets with a governed Power BI reporting interface, so staff work from one consistent set of business rules.
Before
- Multiple Excel spreadsheets tracking energy company data
- Data hard to access and make sense of
- Each user applying their own business rules
- Inconsistent reporting across the organisation
After
- One interactive Power BI reporting interface
- Automated data ingestion
- A scalable data model for advanced analytics
- Role-based access and trained staff
01 · The challenge
Where they started
An Australian energy regulator monitors prices, usage and compliance of energy companies, and makes recommendations to government to ensure fair prices and reliable service for consumers.
Spreadsheet sprawl
Data from energy companies was tracked and analysed across multiple Excel spreadsheets.
Hard to access
Staff struggled to access and make sense of the data, which hindered informed decisions.
Inconsistent rules
Each user applied their own version of the business rules, so reporting was inconsistent.
02 · The solution
What we built
After learning the operational workflow and evaluating the current infrastructure, DATA LEAGUE designed a data strategy to consolidate and visualise the organisation's data.
How it fits together
- Spreadsheets and sourcesEnergy company data
- Automated ingestionNo manual steps
- Central, cleansed dataOne set of rules
- Scalable data modelReady for analytics
- Power BIRole-based access
Source discovery
Identified the data sources and applications used across sectors.
Centralised, cleansed data
Extracted, cleansed and transformed the data into the right shape for Power BI.
Automated ingestion
Removed manual intervention from loading the data.
Scalable data model
Built a model that handles large volumes and supports advanced analytics.
Interactive reports
Replaced static Excel reports with interactive Power BI reports and dashboards.
Role-based access
Configured roles so the right people see the right data.
03 · Delivery
How we delivered it
- 1
Understand
Learned the operational workflow and evaluated the current infrastructure.
- 2
Consolidate
Identified, extracted and centralised data from every source.
- 3
Model and automate
Automated ingestion and built a scalable data model.
- 4
Enable
Delivered the reports, configured access and trained staff in Power BI.
04 · Results
What changed
Error-free reporting
A consistent reporting interface built on agreed business rules.
Built to scale
A data model that handles large volumes and supports advanced analytics.
Better data access
Staff can easily find and understand the data they need.
Clearer insight
Interactive visualisations make patterns and trends easy to spot.
More efficient analysis
Faster analysis improves recommendations to government.
Self-sufficient team
Staff trained in Power BI, with a process for regular data and dashboard updates.
In the client's words
Kaye Johnston
Director-RIM
Australian Energy Regulator
- Engagement
- Business analysis, data reporting architecture and visualisations
- Delivered
- A fully functional Power BI reporting interface
- Team
- Multiple time zones and backgrounds
DATA LEAGUE personnel have developed a reporting interface for Australian Energy Regulator, that will be used to inform future data storage and reporting solutions for the AER. They provided business analyst services, as well as developing the data reporting architecture, documentation, and visualisations. They worked well with my team of subject matter experts, and our on-site IT services teams, and easily managed the challenges of a team in multiple time zones and from various backgrounds. The outcomes of the project was a fully functional Power BI reporting interface, enabling access to raw data, curated metrics and specialist reports that will influence our future data collections, and the underlying database architecture. I am very happy to recommend the team at Data League.
- Great teamwork
- Power BI delivered
- Happy to recommend
05 · Technology
Built with
- Power BI
- Data modelling
- Automated ingestion
- Role-based access
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