Top 5 Costs associated with Poor Data Quality
Poor infrastructure data quality does more than clutter your CMDB—it actively drains IT budgets and paralyzes operational workflows. This white paper breaks down the top five areas where corrupted asset data directly impacts the enterprise bottom line, providing actionable steps to quantify and eliminate these hidden costs.
The Real Cost of a Broken Baseline
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Failed ITSM Automation (Inspection & Correction): The sunk cost of investing millions in an enterprise service desk, only to have automated incident routing fail because the underlying asset data requires continuous manual verification.
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Inflated MTTR (Search Time): When critical services go down, bad data forces engineering teams to waste hours hunting for root causes across conflicting dashboards instead of actively restoring service.
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Cloud Sprawl & Licensing Overspend (Procurement): Paying massive monthly premiums for “zombie” compute instances that were never spun down, or assigning expensive software licenses to retired hardware.
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Security & Compliance Penalties (Governance, Risk and Compliance): Failing continuous compliance audits (such as SOC 2) because unmapped endpoints are missing mandatory security telemetry and zero-trust validation.
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Paralyzed Change Management (Lost Business Opportunity): Stalling agile development and infrastructure-as-code initiatives because Change Advisory Boards (CAB) reject deployments out of fear of an untrustworthy baseline.
Download the IT Data Quality Cost Analysis
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Blazent is the leader in Data Quality Management Solutions. We provide the insight needed to improve decision making and business outcomes for IT Service Management, Operations, Security, and Internet-of-Things. Blazent enables enterprises and Managed Service Providers with complete and accurate information across the broadest range of data sources. Reach us at www.Blazent.com or sales@Blazent.com
