Optruss
CONTROLLED DATA TRANSITION • AUDIT CONTINUITY

Move maintenance data without losing operational history.

Optruss supports a structured migration process for asset records, planned maintenance, work history, documents and related operational data.

DISCOVERY& SCHEMA AUDIT
DATA CLEANSING& DEDUPLICATION
HISTORICALRECORD PRESERVATION
SAFECONTROLLED CUTOVER
Structured Methodology

Five steps to a safe and complete data transition.

Migration duration depends on data volume, record quality, system complexity and customer review sign-offs. We prioritize data fidelity over artificial speed.

01

1. Discover

Identify source systems, database structures, business-critical maintenance history, active integrations and regulatory compliance retention requirements.

02

2. Map

Define the target asset hierarchy, field schemas, work order status flows, fault codes, parts inventories and user ownership models.

03

3. Clean & Validate

Identify duplicate records, resolve incomplete asset nameplates, harmonize inconsistent naming standards and validate data with customer engineering teams.

04

4. Migrate & Reconcile

Load approved historical data into a staging environment, reconcile record counts and relational links, and complete user acceptance testing (UAT).

05

5. Cut Over Safely

Agree on the data freeze window, extract the final delta, execute rollback contingencies, train personnel and provide post-launch hypercare.

Platform Trademark DisclaimerIBM Maximo, IFS, SAP and Infor are trademarks or registered trademarks of their respective owners. Optruss is an independent software provider and is not affiliated with, endorsed by, or sponsored by these trademark holders unless explicitly stated under formal partnership agreement.
DATA CONTINUITY • CONTROLLED MIGRATION

Plan your maintenance data migration.

Speak with our data migration team to audit your source tables, assess data quality and map your target asset hierarchy.