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AssetStage Blog

CMMS implementation, data quality, and engineering standards

📋 Standards
02
Jun 10, 20265 min read

BACnet to Brick: Turning a Raw Point Scrape into a Clean Model

A step-by-step walkthrough of converting a messy BACnet point list into a validated Brick Schema model — classification, the two relationship graphs, SHACL validation, and export.

🔧 Data Quality
03
Jun 9, 20264 min read

Brick Schema vs Project Haystack: Which for Your Building Data?

A practical comparison of Brick Schema and Project Haystack — tagging vs ontology, reasoning power, the RealEstateCore merger, and why you don't have to choose blindly.

🔧 Data Quality
04
Jun 8, 20264 min read

Building Digital Twins: Why the Data Model Is the Hard Part

Digital-twin platforms are easy to buy and hard to feed. Why the underlying building data model — not the visualisation — decides whether a twin actually works.

⚙️ Software
05
Apr 29, 202615 min read

Asset Hierarchy in Maximo: Locations, Assets, and Classification Done Right

Maximo locations, assets, and classification explained for implementation teams. How to structure the object model correctly before you load a single record.

📊 CMMS
06
Apr 9, 20266 min read

Fleet Standardisation Doesn't Fail in Your CMMS. It Fails Before It.

Why fleet standardisation programmes underdeliver, and how a data staging layer closes the gap between platform consolidation and real operational consistency.

🔧 Data Quality
07
Mar 10, 202614 min read

Don't Move the Mess: A Data Engineer's Guide to Maximo MAS 9 Migration

Your Maximo migration will fail without clean data. Here's exactly what to fix - asset hierarchies, duplicates, field gaps - before you move to MAS 9.

📊 CMMS
08
Feb 13, 202616 min read

How to Implement SFI Coding in Your CMMS: A Practical Guide for Maritime Teams

The step-by-step process for building an SFI-based asset hierarchy in your CMMS, from licence acquisition to fleet-wide rollout.

📊 CMMS
09
Feb 6, 202617 min read

What is CMMS Data Staging? The Complete Guide for Maintenance Teams

Why the best CMMS implementations never load data straight into production. Learn what data staging is, when you need it, and how it prevents costly rework.

🔧 Data Quality
10
Feb 2, 20266 min read

The Hidden Liability Risk of Loading Data Directly into Maximo with MXLoader

MXLoader is unsupported by IBM and disclaims all liability. When it damages production data, who pays? Why consultants add a staging layer first.

📊 CMMS
11
Jan 19, 20267 min read

The Hidden Cost of Ignoring Criticality: Why Your CMMS Data is Failing You

Without criticality assessment, maintenance teams operate blind. Why 20% of equipment drives 80% of business risk, and how to prioritise it.

📋 Standards
12
Dec 30, 20255 min read

Why Your Asset Register Has 47 Different Pump Types

You can't standardise maintenance on assets you can't find. Here's how naming chaos quietly kills your CMMS investment.

📊 CMMS
13
Dec 2, 20255 min read

The Vendor Upload That Shattered the CMMS Hierarchy

Why multi-vendor projects quietly create the biggest data risk in any CMMS implementation, and how to spot the corruption before it reaches production.

📊 CMMS
14
Nov 11, 20255 min read

The Excel Handover Every CMMS Project Dreads

Six months into implementation, your consultant sends you 47 tabs of asset data. You have two weeks to review it. Here's why this moment breaks most projects.

🔧 Data Quality
15
Nov 3, 202510 min read

Insure Your Maximo Application Suite Migration Against Known Data Failures

Data quality problems derail most CMMS upgrades. Here's how to catch them before they cost you 6 months and £200K in consultant time.

📋 Standards
16
Oct 23, 202513 min read

Your Preventive Maintenance Program Isn't ISO 14224 Compliant (And You Probably Don't Know It)

Most CMMS implementations violate ISO 14224 without anyone realizing it. Why identical assets get different PM schedules, and how to fix it systematically.

📋 Standards
17
Oct 7, 20253 min read

PM Optimization is Now Live

Standardise PM schedules across identical equipment in minutes. See inconsistencies side-by-side, fix with one click, export back to your CMMS.

📊 CMMS
18
Oct 4, 20255 min read

Why 70% of CMMS Implementations Fail (And How AssetStage Fixes It)

70% of CMMS implementations fail due to bad data, not bad software. How AssetStage's visual workspace solves the data quality crisis legacy methods can't.

📋 Standards
19
Oct 2, 20257 min read

7 Hidden Pain Points Every MXLoader User Knows (And How to Solve Them)

A practical guide for Maximo data professionals struggling with MXLoader. Learn how to solve the most common import issues that keep you up at night.

📊 CMMS
20
Sep 8, 202510 min read

SFI Coding and ISO 14224: A Complete Guide for Maritime CMMS

How combining SFI equipment identification with ISO 14224 reliability standards creates a comprehensive framework for maritime maintenance management.

📊 CMMS
21
Sep 1, 202510 min read

Maritime CMMS: Why Shipping's $30 Billion Maintenance Problem Isn't Going Away

With 109,000+ vessels and maintenance eating 30% of operating costs, most shipping still runs on spreadsheets. Here's what maritime CMMS does differently.

📋 Standards
22
Aug 18, 20259 min read

Building Your Asset Hierarchy: A Step-by-Step Guide

Learn how to structure your asset hierarchy for maximum efficiency. Includes real-world examples from manufacturing, utilities, and facilities management.

📊 CMMS
23
Aug 11, 20256 min read

Why AI Won't Save Your CMMS (But Good Data Will)

Everyone's talking about AI in maintenance, but the real ROI comes from something simpler: clean, standardised data. Why quality beats algorithms.

🔧 Data Quality
24
Aug 4, 20257 min read

Maximo vs SAP PM: Data Structure Comparison

A technical comparison of how Maximo and SAP PM handle asset hierarchies, work orders, and preventive maintenance. Essential reading for migration projects.

📊 CMMS
25
Jul 28, 20256 min read

The Complete Guide to CMMS Data Migration

Everything you need to know about migrating from legacy systems to modern CMMS platforms. Includes templates, checklists, and common pitfalls to avoid.

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