Technology Portfolio Management (TPM) Best Practices - Establish a regular review and validation cadence for all technology records
Technology Portfolio Management (TPM) Best Practices
Establish a regular review and validation cadence for all technology records
Overview
Technology records that are created with care and then never reviewed degrade in accuracy over time as the technologies they describe evolve, the vendors that provide them make strategic decisions, and the regulatory frameworks that govern them are updated. Without a regular review cadence, the Technologies Inventory family accumulates inaccuracies at the same rate that the technology landscape changes.
Best Practice
Establish a regular review and validation cadence for every Technologies Inventory record, calibrated to the rate of change characteristic of each inventory type. Software technologies with active vendor development cycles should be reviewed at minimum annually, with event-driven reviews triggered by major version releases, EOL announcements, security disclosures, and vendor strategic changes. Hardware technologies should be reviewed semi-annually against warranty, support, and refresh schedule data. Cloud and Infrastructure Services records should be reviewed quarterly, as cloud service offerings and pricing change more frequently. Open Source Components Inventory records should be reviewed continuously through automated vulnerability scanning with a formal manual governance review at least annually per component. The annual comprehensive review for each record should be conducted by the named Technology Owner and should validate every attribute against current information.
Benefit(s)
A consistent review and validation cadence applied across the full Technologies Inventory family maintains the data quality that governance decisions depend on without requiring a complete inventory rebuild each time portfolio analysis is needed. Technology record accuracy degrades much more slowly when maintained through regular review than when allowed to accumulate errors between infrequent complete refreshes.
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