Asset Master Data Management Essentials for all Information Technology and Operational Technology Asset Environments Greg L Towne

The Enterprise Asset Master Data Management Conundrum

History and the Need for Change

Building and maintaining appropriate EMDM (Enterprise Asset Master Data) Governance, Standards and a Single source of truth in alignment to the asset life cycle, has been one of the true killers of Asset Effectiveness, Cost Reduction and Productivity for Enterprise Asset Management, Enterprise Resource Planning and Computerised Maintenance Management Systems for decades.

This conundrum has been felt even more in recent years with the growing focus on IT (Information Technology) and OT (Operational Technology) Convergence, additional compliance and regulatory requirements, industry standards e.g. ISO 55000 , and employee obligations around safety.

The Current State – A major lack of Data Confidence

The evolution of improvements in Asset MDM (Master Data Management) has been extremely slow, hampered, and cumbersome to say the very least; in that

  • Barriers to Execution
    There have been real barriers to effective execution through a lack of standards across related systems - resulting in non-aligned business processes, non-matching reference documents (drawings, manuals, parts books) to physical Asset Tags.

  • Governance and Accountability
    Size and structure of organisations and related technology has meant there has been a lack of centralised control and data stewardship; resulting in mixed strategies, varying priorities, and inadequate MOC (Management of Change).

  • Aligned Effort, Quality and Visibility
    Ad-Hoc and inconsistent ontologies vary between As-Built, Operational and Process structures; resulting in Strategies and Objectives not being met and Operational Tactics continuously frustrated.

  • Disparate Outcomes
    Organic data administration by multiple groups with varying agendas, backgrounds, priorities, specifications, influences and planning strategies; resulting in a major loss of confidence in data and reporting.

  • Inconsistencies, Poor Asset Uptime
    Wrong equipment, wrong parts, wrong tags, mistakes, repetition, delays, poor asset type visibility, misaligned inventory to maintenance and operational needs, all relate to extended downtime.

  • Operations and Safety Performance
    Risk standards have not been aligned to operating function, equipment specifications or class and maintenance strategies, policy and practices; resulting in Reactive process safety, and mostly too late.

Old feature or function non-integrated Asset MDM systems can no longer provide the capability, nor the science, nor the scale to resolve how internal and external business components need to relate to each other. Hence, trade-offs in efficiency or adaptability, or required data structures shall now be difficult to justify!

“Our efforts to sweat our Assets and maximise Total Cost of Ownership is impossible in this environment and with this approach!”

The New Way Forward

Industry 4.0 Solutions require robust data integrity eg. the blending of diverse discrete, streaming and batch data to provide more complete outcomes that are driven by historical data, prognostics and heuristics rather than a single focus predictive analytic. Modern business problems and related assumptions underlie the complexity of systems and their data requirements; which if not provided for, shall result in mis-characterisation of the causes, consequences and behaviours that are part and parcel of a business framework in today’s complex environment.

We also need to more accurately measure data quality in order to provide and protect data-driven decision making.

“We need to get our House in Order”

Floor to Ceiling Asset Life-cycle Alignment and Interoperability

Diriger and Optimate

Diriger has partnered with valued OT Experts at Optimate to bring our Customers the leading automated approach to solving the Asset MDM Conundrum and hence, vastly improve data confidence.

Our joint solution offers

  • Business centric data visibility across multiple business units, functions, structures and systems e.g. we use ISO 14224 hierarchy structures, related attributes, planning and strategy triggers, and process safety markers

  • Centralised Supervisory Control (Data Stewardship) across the entire IT/OT platform; ensuring escalations and actions are tracked through to completion

  • Data structures aligned with Business Drivers, Strategies, Objectives and Professional Tactics; and data quality measurability KPI’s

  • Common targets that ensure effective integration to maximise data integrity, completeness, design approvals, related parts and asset up-time

  • Vastly reduced inconsistent data and undisciplined usage practices to create less work, less time wastage, increased Up-Time, less inventory, better TCO (Total Cost of Ownership)

  • Operational and maintenance visibility of the right equipment, right work practices, SIL (Safety Integrity Level) and Bowtie ratings, analytics, failure modes, causes and remedies.

About the Author...

Greg Towne is a Co-Founder of Diriger with 35+ years of experience implementing Enterprise Resource Planning solutions and Business Process Improvement Initiatives in Mining, Utilities, Energy and Defence industries. He is dedicated to working closely with our Customer’s in order to help them solve the BIG problems that have been in play for far too many years.