Context
Transition to working data driven Align Asset management goals with asset-specific plans and projects Integration of Strategic Asset management business- and data architecture
Our solution
- 01 Identify information and data in each step
- 02 Execute a gap-analysis between logical data model and information required
- 03 Define steps to close gaps in goals, information and data.
What Oxand delivered
Portfolio plan analysis
Analysis of portfolio and asset plans
Goals linked to data
Relationship between strategic goals and operational data
Operational PDCA implementation plan
Implementation plan and advise to make the PDCA operational
Questions about this reference
What did Rijksvastgoedbedrijf set out to do?
To move to data-driven working: align its asset management goals with asset-specific plans and projects, and integrate its strategic asset management business architecture with its data architecture.
How was the gap between goals and data identified?
By mapping Plan-Do-Check-Act from strategic down to operational level, identifying the information and data each step needs, then running a gap analysis between the logical data model and the information the goals actually require.
What is a logical data model in asset management?
It describes what data the organisation needs and how those data relate to each other. Comparing it with what the asset management goals require is what exposes the data that is missing.
What did the organisation obtain?
An analysis of its portfolio and asset plans, an explicit relationship between strategic goals and operational data, and an implementation plan with advice for making the Plan-Do-Check-Act cycle operational.
Why start from the goals rather than from the data?
Because data is only worth collecting if a decision depends on it. Starting from the goals shows which gaps to close first, instead of improving data that changes nothing.