Viridian · Case study

Maintenance Systems & Analytics

Connecting maintenance activity, asset records and engineering decisions.

My contribution
National MEX rollout and Power BI reporting development
Context
Maintenance operations across Viridian sites
Focus
Data & research · Software & AI
Power Bi Landing Dashboard
Maintenance AnalyticsPower Bi Landing Dashboard
Power Bi Downtime Dashboard
Maintenance AnalyticsPower Bi Downtime Dashboard
Power Bi Spares Consumption Dashboard
Maintenance AnalyticsPower Bi Spares Consumption Dashboard
Power Bi WHSE Dashboard
Maintenance AnalyticsPower Bi WHSE Dashboard
Power Bi Table Relationships
Maintenance AnalyticsPower Bi Table Relationships
Overview of the maintenance-data reporting workflow.
Reporting WorkflowOverview of the maintenance-data reporting workflow.

Experience In Practice

Skills Applied

View All Skills

Start With The Maintenance Process

Maintenance data begins with real activity: an asset needs attention, a work order is raised, a spare is used or preventive work is scheduled. Reporting becomes useful when those records are organised around the equipment and processes they describe.

I led the MEX CMMS rollout across Viridian sites, working with assets, work orders, spare parts, preventive-maintenance schedules and user training. This combined system setup with the practical work of helping people use it.

Turn Records Into A Connected Model

I developed live Power BI reporting from MEX using OData, Power Query and DAX, with SQL and Snowflake also part of the reporting work. The source evidence includes both dashboard views and a relational-model view.

The analytical work brings equipment, maintenance activity and time together, allowing the same operational information to be examined from several perspectives.

Design Around Engineering Questions

The dashboard collection covers downtime, spare-parts consumption, preventive-maintenance completion and work health and safety. Each view supports a different operational question.

  • How is downtime changing over time and across equipment?
  • Where is spare-parts consumption concentrated?
  • How is preventive-maintenance work progressing?
  • What does the maintenance and safety picture look like across sites?

Bring The Operational And Analytical Work Together

The outcome is a maintenance system supported by live reporting: operational records can be explored through focused asset and maintenance views. My contribution spans the rollout, user training and the reporting layer.

The dashboard views show how these questions are presented, alongside an overview of the reporting workflow.

The Engineering Journey

Organise

Establish assets, work orders, spares and preventive-maintenance workflows in MEX.

Model

Connect and transform records, establish relationships and define reporting measures.

Explore

Build focused Power BI views around maintenance and asset questions.

What This Experience Achieved

The result

A multi-site maintenance-system rollout, user training and live reporting for maintenance and asset analysis.

Technical decisions & tools

OData provides access to MEX data; Power Query and DAX support transformation and analytical measures in Power BI. The simplified diagram describes this at a capability level rather than exposing the internal implementation.

The image collection includes the landing view, downtime analysis, spares-consumption analysis, WHSE reporting and a data-relationship view.

MEX CMMSPower BIODataPower QueryDAXSQLSnowflakeUser training