February 9th, 2023
Free to attend
Is your asset hierarchy inaccurate or incomplete? Are you missing key equipment attributes to enable spare part management?
Join Add Energy's experts on the February 9th, 2023 to discover solutions and mitigate common challenges in master data collection and validation.
The key learning objectives of the webinar include:
What is Master Asset Data and why is it so important to asset management?
How to effectively validate, enrich or collect master asset data
How to align & reconcile newly collected data into the CMMS
How to mitigate common issues seen in the collection, validation or enrichment of master asset data
Meet the speakers
Tapping into his 17+ years of client facing projects, Add Energy's Principal Consultant, Brendan Furrow, will lead the presentation on the What, Why and How of Master Asset Data Collection, Validation and Enrichment while offering solutions to common pain points faced by maintenance teams.
With a Master of Science in Petroleum Engineering & Bachelor of Science in Chemical Engineering, Brendan has extensive experience in the life cycle of Master Asset Data, including the physical collection and leadership of client-focused teams, for onshore and offshore locations. These unique experiences have maximized his management strengths in the following disciplines:
- Asset Management
- Best Practices
- Change Management
- Engineering Management
- Master Asset Data Collection, Validation & Enrichment
- Multisite Project Management
- Process Improvement
- Quality Control
- Resource Allocation
- Risk Mitigation & Risk Management
- Staff Training & Supervision
- Strategic & Tactical Planning Budgeting & Cost Control
Joining Brendan in discussion is Add Energy's Technical Solutions Engineer, Trent Cooper.
Trent has a background in Offshore Systems Engineering and has extensive experience in the maintenance and asset management industries, streamlining processes, and introducing technology to replace historically slow, mundane tasks. He is the co-developer of Add Energy's ePAV™ data collection application and is America's lead on the development and sales of the RFID-based asset tracking software, AssetVoice™.
Trent's expertise cover the following areas:
- Technical and software solutions
- Maintenance Strategy
- CMMS/EAM Data Builds, Migrations, Implementations/Enrichment, Cleansing, Standardization
- Asset Register Builds
- Physical Warehouse and Inventory Verifications
- RFID Technology
We surveyed over 400 Maintenance Managers, a third of which found their CMMS data quality and usage to be one of the biggest challenges they face.
This inspired us to share our knowledge and expertise to help alleviate the pain points raised in the report.Read the full report here
Digitalize information quickly and accurately
ePAV™ is a digital data collection app that allows you to conduct any field data collection, verification, or audit exercise with 4 times more accuracy and in half the time.Learn more
Add Energy's master data case studies
Master data verification and enrichment
A case study with the overall project goal to verify the client’s current asset register, update and collect name plate data and assure drawings matched the current onsite layout.
CMMS Master Data Precision and Enrichment
A case study with the project goal to cleanse and enrich the master equipment list within the CMMS to assure accuracy and provide the operations and maintenance team with access to reliable data for effective maintenance, integrity, and inventory management.
Physical Asset Verification of 7 Offshore Sites
To update the Asset Register with accurate and verified data that was captured in the field for the purposes of safety assurance and optimised materials and maintenance management.
Physical Asset Verification, CMMS Data Enrichment, Maintenance Improvement and Development of Bill of Materials (BoMs)
A case study with the project goal to enrich and cleanse the CMMS data to allow for more effective and efficient maintenance and integrity management of the equipment on the assets.
Register to attend
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