Mastering Digital Asset Management: A Comprehensive Strategy for Data‑Driven Asset Excellence

Imagine you’re charged with building a business case to replace an old asset. To do so, you need its age, original cost, and any recent safety audits that confirm it meets current codes.

When you look in the CMMS you find the asset cost field blank and a date of 1991. There are no audit reports in the system. You turn to finance, who tells you the asset was recorded in 1984 at a cost of $1.5 million.

The data still feels off. You then ask engineering for the original project documents. A senior engineer, the only one who remembers the project, digs through his personal archive and finds the file. It shows a cost of $1.2 million and an installation date of 1983.

Now you have conflicting ages and costs. Why? You investigate further and discover the CMMS’s 1991 date reflected the year the system was implemented, not the asset’s installation. Finance, restructuring in 1984, added auxiliary systems to the asset record, inflating the cost. The true installation date was 1983, and the accurate cost is $1.2 million.

But where is the audit report? The engineer who produced it left the company, and all related files were wiped from the shared drive. It took three days to recover the information from a consulting partner. How can an organization make data‑driven decisions when data isn’t readily available?

Enter a Digital Asset Management (DAM) strategy— the cornerstone of any data‑centric asset management system. DAM ensures documents, images, and other information are stored, governed, and accessed consistently, creating a single source of truth that supports ISO 55001 compliance.

What does a DAM strategy entail? It’s a systematic framework that defines:

• Scope of data (e.g., images, manuals, drawings, certificates, reports, project files, asset and operating data, market demand insights)
• Data ownership and access rights
• Retention periods
• Integration pathways between systems to eliminate double entry and reduce errors
• Readiness for Industry 4.0 and IIoT, ensuring seamless data flow into future analytics

Without a clear strategy, asset data is scattered, decisions are delayed, and compliance reporting becomes cumbersome. A well‑crafted DAM strategy aligns the digital landscape with the physical world: every physical document has a corresponding digital record linked to its asset.

Creating a Digital Asset Management Strategy

Developing a DAM strategy goes beyond choosing a software package. It requires:

• Cross‑functional collaboration with a steering committee that includes maintenance, engineering, finance, IT, and operations.
• Defining the vision and scope, ensuring future IIoT data can be accommodated without costly rework.
• Deciding which data will be governed, balancing value against the cost of managing everything.
• Establishing security permissions for creation, editing, and viewing, often split between global data‑governance teams and local functional owners.
• Linking the strategy to supporting documents: a digital asset standard, engineering document naming conventions, project handover standards, and more.
• Selecting a document management system that integrates with CMMS, CAD, ERP, and other key platforms, and supports mobile access, version control, and change management.
• Enabling mobile solutions by ensuring all information is organized and easily retrievable on the field.

Digital Asset Standard

This standard defines the data required, its format, and where it’s stored. It often includes a data dictionary and references broader standards such as:

• Asset Master Data Standard – hierarchy, naming, classification, attributes, and operational data.
• Materials Master Data Standard – parts naming, attributes, lead times, pricing.
• Maintenance and Failure Data Standard – breakdown, corrective, proactive tasks, man‑hours, downtime, failure codes.
• Process and Operating Data Standard – flows, pressures, speeds, condition monitoring, and integration points.

Each data point lists the field name, mandatory status, and formatting rules (e.g., date format DD‑MM‑YYYY).

Engineering Document Standard

While the digital asset standard focuses on data points, the engineering document standard governs how documents are identified, named, and stored:

• Document type (e.g., MTC, PTG) followed by description, asset number, and a unique identifier.
• Example: MTC – Centrifuge Maintenance Manual – 865732 – 01
• Electronic documents linked within the CMMS or a dedicated document management system.
• Hard copies managed in an onsite library with sign‑in/out procedures and a register.

Document Management System

The heart of DAM is a robust document management system that stores, tracks, and secures all assets. Key capabilities include:

• Integration with CMMS, CAD, ERP, and other tools.
• Version control and audit trails.
• Mobile access and change‑control features.
• Retention and records management support.

Popular solutions include OpenText, EQMS, and eFileCabinet.

Project Handover Standard

Ensuring data integrity at handover is critical. The standard mandates:

• Collection, cleaning, and uploading of all required information during the project.
• Verification and approval by operations, maintenance, finance, and safety teams.
• Vendor or contractor accountability for data completeness before final payment.

Implementing the Digital Asset Management Strategy

Once the strategy and supporting documents are ready, implementation proceeds in stages:

• Conduct a content audit to identify gaps and data quality issues.
• Prioritize data collection based on value versus cost and risk of missing data.
• Launch a pilot in a select area to refine processes and demonstrate value.
• Scale up gradually, leveraging lessons learned to accelerate adoption across the organization.

Future of Digital Asset Management

Organizations without a DAM strategy lag in adopting Industry 4.0, AI, and IIoT. A robust strategy unlocks:

• Lifecycle costing, capital planning, and risk‑based inspections.
• Data‑driven capital decisions that build trust with stakeholders and regulators.
• Agility to integrate new technologies and analytics as they emerge.

Further Exploration

To deepen your understanding, consult the Global Forum on Maintenance & Asset Management (GFMAM) Asset Management Landscape document, which aligns with ISO 55001 requirements.

References:

• SAP. (2016). Digital Transformation of Asset Management. SAP.
• ISO. (2020). ISO 55001: Asset Management.

This article was previously published in the Reliable Plant 2019 Conference Proceedings.