Application Portfolio Management (APM) Best Practices - Apply the "anywhere is better than nowhere" principle to inventory data collection
Application Portfolio Management (APM) Best Practices
Chapter 13. Apply the "anywhere is better than nowhere" principle to inventory data collection
Executive Summary: Chapter Overview
IF4ITThe Bottom Line
Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Anywhere Is Better Than Nowhere | The operational principle that partial, imperfect inventory data collected today produces more portfolio value than a comprehensive inventory postponed indefinitely — and that data quality improves through use, not through delayed collection. |
| Minimum Viable Data | The smallest set of application attributes that supports the initial portfolio decisions the program must make — typically application name, semantic identifier, business owner, technical owner, and primary business capability supported. |
Quick Q&A
Question: Why do APM programs stall waiting for authoritative data sources?
Question: How should the first inventory pass be scoped?
Read More Below
Overview
One of the most consistent failure patterns in APM programs is the pursuit of completeness before governance begins. Teams delay recording application records until they have determined the perfect subsection structure. They delay assigning ownership until the ownership model has been fully ratified. They delay capturing integration data until the Integrations Inventory schema has been finalized. They delay populating financial attributes until they have secured access to every cost system. While waiting for perfect conditions, the inventory grows no richer, governance delivers no value, and organizational patience for the program erodes.
The “anywhere is better than nowhere” principle is a direct antidote to this pattern. It asserts that an imperfect, incomplete, or imprecisely classified inventory record captured today is more valuable than a perfectly specified record that does not yet exist. An application recorded in the wrong category is still a governed application — one that can be recategorized when the right classification becomes clear. An integration recorded with approximate attribute values is still a governed integration — one that can be refined as more precise data becomes available. A capability mapped loosely to an application is still a governed capability relationship — one that can be tightened as the capability model matures.
Best Practice
When in doubt about where an application, integration, capability, or any other inventory item belongs — capture it somewhere. Use the best available classification, assign the most appropriate owner currently known, populate the attributes that are available today, and flag the record for future refinement. Do not withhold a record from the inventory because some of its attributes are uncertain or because its classification might change.
This principle applies equally to all three Tier 1 inventories. For the Applications Inventory: record every known application, even those for which only a name, a rough description, and a suspected owner are known. For the Integrations Inventory: record every known data flow, even those for which the source entity, target entity, and payload type are only partially characterized. For the Capabilities Inventory: record every known capability, even those whose hierarchy level, business domain, and application support relationships are not yet fully defined.
The corollary discipline that makes this principle safe is the semantic identifier convention. When inventory records use consistent, human-readable, self-documenting identifiers — APP-CRM-SALESFORCE, INT-CRM-TO-ERP-ORDERS, CAP-CUST-ORDER-MGMT — reclassification is seamless. Changing a record’s category, subsection, or type does not break the relationships other records have formed with it, because the identifier travels with the record through any reclassification. Semantic identifiers make the “anywhere is better than nowhere” principle operationally safe by decoupling record identity from record classification.
Over time, the data accumulated in imperfectly classified records makes correct classification self-evident. Patterns emerge. Owners validate. AI tools surface inconsistencies and suggest corrections. The inventory improves continuously — but only if it exists to improve in the first place.
Benefit(s)
Applying this principle consistently prevents the inventory stagnation that defeats most APM programs before they deliver value. It creates immediate organizational visibility into the portfolio — however imperfect — that governance can act on. It builds the data accumulation momentum that makes subsequent refinement progressively easier. And it establishes the cultural expectation that APM governance is a continuous improvement discipline rather than a perfection-first exercise — an expectation that is essential for sustaining organizational commitment through the long maturity journey that APM represents.
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