ActivePrime’s Valued Data Quality Assessment Customers

Poor Data Quality costs organizations an average of $15 million per year according to Gartner’s latest study. IDC estimates that implementing Data Quality initiatives can raise sales by 20-40%.
High Quality Data Boosts Sales and Reduces Costs
Trust the Data Quality Assessment Experts
Fields with inconsistent formats, capitalizations, and abbreviations.
Formatting Issues
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Redundant records.
Duplicated Data
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Records with incomplete fields.
Missing Data
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Records with erroneous or flawed fields.
Incorrect Data
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Corrupted or compromised fields or records.
Damaged Data
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Data that doesn’t serve any business purpose.
Junk Data
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Potentially valuable data in the wrong field.
Misplaced Data
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Unlock your CRM Data’s Potential and Get Ready for the AI Revolution
Our in-depth data quality assessment report includes all relevant information that will help your organization understand your Data Quality Score and a detailed distribution of defects by Dirty Data symptoms.
Unleash Data's Power:
Addressing Dirty Data and Amplifying ROI
Thanks to the Data Quality Index in our Data Quality Assessment report, you can track where your organization is, the financial impact and potential ROI of implementing a Data Quality Initiative.

Data Insights Unveiled:
Findings, Prioritization and Action
For each type of data issue identified in our Data Quality Assessment report, we provide an analysis of our findings, including insights that will help prioritize the areas to address. Our examples make it easy for you to identify potential solutions quickly.

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Know your data:
Unveiling Dirty Data Symptoms
At a glance, view the percentage of dirty data by all symptoms, including formatting issues, missing data, duplicate records, and incorrect data.
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Transforming CRM Data:
Actionable Guidance for Success
We don’t just identify problems. The Next Steps section in our Data Quality Assessment report provides detailed guidance on what your organization needs to do to start reaping the benefits of clean CRM data.