A bespoke job management system for property services was developed to centralise data, automate reporting, and deliver actionable business insights for improved decision-making.
Context
A leading property services company providing end-to-end home selling and management solutions sought to improve operational efficiency and visibility across its business. With multiple teams handling valuations, sales, and customer management, the company needed a digital solution to better coordinate activities, monitor performance, and optimise productivity.
The Challenge
The organisation was managing growing volumes of operational and client data through spreadsheets and manual reporting. This approach made it difficult to track key performance indicators, monitor supplier performance, and manage ongoing jobs effectively.
They required a reporting system tailored for the property sector that could:
- Integrate with existing databases.
- Provide real-time visibility of business performance.
- Automate reporting and reduce manual data entry.
- Enable more accurate, data-driven decision-making.
The Solution
Objective worked with the business to design and implement a bespoke job management system for property operations, underpinned by Microsoft Power BI business insights reporting.
The system consolidated data from multiple sources, providing a centralised platform to manage daily operations — from property job allocation and progress tracking to supplier performance analysis. Dashboards were developed to visualise live KPIs, identify missing or inaccurate records, and generate automated reports that replaced manual Excel processes.
This tailored solution gave management a clear view of performance metrics, allowing them to make informed strategic decisions backed by accurate data.
The Results & Benefits
- Streamlined job management – all operational data centralised in one system.
- Automated reporting – reduced manual workload and improved accuracy.
- Improved visibility – dashboards provide real-time insight into performance.
- Better data quality – ensures cleaner, more reliable operational data.
- Scalable system – future dashboards and modules can be added as needed.