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Top 5 Costs associated with Poor Data Quality

June 25, 2018
This white paper focuses on addressing the top five areas within an organization where poor data quality costs tend be magnified, so organizations can put in place a plan to tackle the problem.

This white paper focuses on addressing the top five areas within an organization where poor data quality costs tend be magnified. This should enable organizations to better understand and appreciate their unique situation and put in place a plan with quantifiable measures to tackle the problem.

The top 5 areas discussed are:

  1. Inspection & Correction
  2. Search Time
  3. Procurement
  4. Governance, Risk and Compliance
  5. Lost Business Opportunity

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Blazent

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

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