Unlocking IoT Potential: Strategic Approaches to Sensors and Communication
Date: Thursday, October 10 2024
Time: 10:00 PM (PST)
Location: Virtual
Register Here
Fixing the Data Foundation
Leveraging Master Data Management to Reduce Mean Time to Repair (MTTR) in Oil & Gas Operations
Duration
2 Hrs
Preferred Date & Location
- Houston - 05-Mar-2026 - 12:00 PM CST
- Calgary - 12-Mar-2026 - 12:00 PM EST
- Dallas - 19-Mar-2026 - 12:00 PM CST
Time
12:00 PM
Register Here
About the Workshop
This Workshop is a practical, business‑led session designed for engineering, operations, supply chain and data leaders who feel the pain of slow resolution but don’t want another tool demo. We connect master data quality directly to resolution speed, showing how clean, consistent asset, material, vendor and location data accelerates diagnosis, decision‑making and closure across your end‑to‑end workflows
Agenda
Welcome & Objectives
- Set the purpose of the session, explain why MTTR matters as a leadership KPI and clarify what participants will gain
The Business Problem: KPIs That Are Too Slow to Improve
- Show how slow resolution drives cost, downtime and risk, positioning MTTR as a cross‑functional metric driven by decision speed
How Data Drives Faster Resolution
- Explain how clean, consistent master data accelerates diagnosis, coordination and closure across operations
Why Data Gaps Exist
- Highlight the organizational causes of data issues including siloed ownership, inconsistent standards, legacy structures and missing governance
The Types of Data Issues That Create Delays
- Give leaders a clear, simple vocabulary for common data problems
Interactive KPI Back Data Mapping
- Guide participants to identify a slow KPI, map the decisions behind it and pinpoint the data breaks adding friction and delay
How MDM Solves These Problems
- Show how MDM standardizes and governs core data to create trusted, consistent information that enables faster, more confident decisions
What the End State Looks Like
- Describe a future state with one source of truth, consistent standards and seamless cross‑system alignment
Closing & the 90 Day Action Plan
- Summarize priority data fixes and outline a 90‑day plan with clear roles, responsibilities and next steps
Workshop Objectives
This workshop helps engineering, operations, and supply chain teams strengthen the data foundation required to resolve issues faster and with greater accuracy. By focusing on the master data that underpins equipment design, operational workflows, and materials movement, participants learn how inconsistencies and gaps slow down investigations, decisions, and execution.
The session introduces a practical approach for diagnosing where data breaks create resolution delays, shows how improved master data reduces MTTR across interconnected processes, and equips teams with a clear 90‑day plan to drive measurable improvements in operational efficiency and reliability.
Who Should Attend
- Executive and operational leaders driving operations, asset performance, and supply chain outcomes
- Digital, data, and IT leaders responsible for transformation, ERP/EAM platforms, and analytics
- Maintenance, reliability, and production leaders accountable for uptime and operational efficiency
- Data governance, master data, and enterprise application owners improving data quality and trust
- Mid- to senior-level decision-makers influencing budgets, priorities, and transformation roadmaps
Key Takeaways
- How MTTR links to master data quality across engineering, operations and supply chain
- The common data issues that slow resolution: identity, structure, completeness, accuracy, context and integration
- A simple KPI‑back method to trace delays to specific data gaps
- How MDM creates a single source of truth with standards, governance and stewardship
- What a “good” end state looks like across ERP, EAM, CMMS, MES, historians and field systems
