A multi-million dollar program which has transformed the Australian mining division’s operations –with the original solution deployed in just six months –is intended as the blueprint for a global transformation initiative underway at the global facilities management firm. Tight integration across Microsoft platforms, particularly Dynamics 365 and Power BI, ensures transparency and accuracy along with rich reporting tools to support executive decision-making and service optimisation.
Many organisations work to traditional measures like cost of labour or the cost of raw materials. This system allowed our client to go deeper and understand where efficiencies can be delivered.
Our client needed to leverage expert, outside thinking to develop their DX value proposition for a major client. Key to this was the transformation vision for the client to move from a traditional FM player to a deeply integrated service delivery provider, and provide new levels of transparency to operational and executive teams at both the client and their key client stakeholders.
It was critical that the integrated solution was developed quickly to ensure our client was able to meet their internal and external efficiency targets. To build equivalent functionality from standalone solutions – which was our clients original global plan –would have required integration of 20 to 30 different systems, and injected immense complexity and brought significant cost. Velrada’s approach had entire service delivery components live and driving efficiency improvements within a matter of months.
Dynamics 365 has been deployed to underpin our client’s customer service and field services, and it forms the foundation for a secure cloud-based client portal for end-user self-service, feedback and status updates. Tight integration across Microsoft platforms, particularly Dynamics 365 and Power BI, ensures transparency and accuracy along with rich reporting tools to support executive decision-making and service optimisation. Our client has also deployed Azure machine learning, predictive analytics and Azure’s IoTHub.