Lack of end-to-end data alignment
- Inability to reconcile purchases against deployments – Poor data quality makes it impossible for IT managers to respond to vendor audits with an accurate record of entitlements.
Consequences of Poor Data Quality
Inaccurate counting and reporting lead to significant true-ups from vendor audits, inability to realize cost benefits from consolidation and optimization initiatives, waste on unused assets, poor leverage in vendor contract negotiations, and costly, time-consuming manual reconciliation.
Poor IT asset management causes outdated and incomplete data increases the risk of regulatory noncompliance, exposes the organization to known security vulnerabilities, interferes with data governance, and hinders the planning and implementation of IT initiatives like cloud migration and data center transformation.