01
Your composite score out of 100
A single number representing your overall asset data maturity, calculated across all five dimensions using a weighted scoring method.
Where does your asset data stand against your industry peers?
Answer 12 questions about how your asset data is managed and receive a personalised maturity score out of 100, a dimension-by-dimension breakdown, and your three highest-priority improvement areas.
1 to 2 minutes
Your result before any sign-up
Peer benchmark included
Five dimensions. One consolidated maturity score.
The benchmark assesses your organisation across five operational dimensions that determine how effectively your asset data supports maintenance strategy, CMMS performance, and readiness for analytics.
01
Asset Data Standardisation
How consistently your asset hierarchy, classification, and component naming are structured and governed across sites.
02
Failure Analysis Coverage
How completely your critical assets have documented failure consequences and effects to support task selection.
03
Maintenance Strategy Maturity
How your maintenance task frequencies are determined, rationalised, and optimised against failure data.
04
CMMS Data Quality
How completely and consistently failure codes are applied to work orders and how clean your CMMS master data is.
05
Data Readiness for Analytics
How well your historical maintenance data and asset hierarchy support machine learning, AI, and predictive analytics.
What you receive after completing the benchmark
02
A dimension-by-dimension breakdown
See exactly which areas are holding your organisation back and which are already performing well, so improvement effort goes where it will have the most impact.
03
Your three highest-priority improvement areas
A specific recommendation based on your lowest-scoring dimensions, delivered by email from Jitesh Patel, Founder of Shivaan Asset Management, within 24 hours of completion.
Built for practitioners, not just leadership
This benchmark is designed for Reliability Engineers, Maintenance Engineers, Asset Management Engineers, Maintenance Planners, Maintenance Managers, Asset Managers, and Maintenance Superintendents who are directly responsible for the quality of asset data in their organisation.
It is equally useful for operational leaders such as Heads of Maintenance, COOs, and VP Operations who want an honest picture of where their organisation sits before committing to a data improvement programme.
It is relevant across mining, oil and gas, manufacturing, rail, power generation, and cement and aggregates.
Complete the Benchmark
Your result arrives by email within 24 hours from info@shivaanam.com.au.