Application Portfolio Management (APM) Best Practices - Understand which enterprise inventories are key levers for APM cost, quality, risk, and impact analysis
Application Portfolio Management (APM) Best Practices
Understand which enterprise inventories are key levers for APM cost, quality, risk, and impact analysis
Overview
Not all enterprise inventories contribute equally to APM analytical power. Some inventories are primary levers - they directly determine the cost, risk, or impact profile of applications in the portfolio and produce the most immediately actionable portfolio intelligence when connected. Others are secondary enrichments that add context without fundamentally changing the analytical picture. Understanding which inventories are primary levers enables APM practitioners to prioritize the connections they build and maintain, investing first in the data relationships that produce the most decision-relevant value.
Best Practice
Identify and prioritize the enterprise inventories that serve as primary levers for APM analysis across four dimensions. Cost levers are the inventories that most directly determine what applications cost: the Software Licenses Inventory, Software Subscriptions Inventory, Leases Inventory, and Contracts and Agreements Inventories. Risk levers are the inventories that determine the risk profile of applications: the Risks and Issues Inventories, Policies and Compliance Inventories, and Vendors and
Benefit(s)
Prioritizing inventory connections by their analytical leverage ensures that the early phases of APM data development produce maximum value for the investment made. Cost lever connections reveal wasted spend, contract risks, and license compliance gaps that can be acted on immediately. Risk lever connections surface security, compliance, and vendor risks that leadership needs to understand and govern. The organization begins generating actionable portfolio intelligence from the earliest stages of APM maturity rather than waiting for a comprehensive data model to be fully populated before any analysis is possible.
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