Knock Out Dirty Data

Data quality and governance initiatives drive today's businesses seeking to improve business process efficiency and marketing intelligence. According to Gartner Inc., more than 25 percent of critical data in Fortune 1000 companies is flawed. Poor-quality customer data is costly and can have a significant impact on your most strategic business initiatives. Sales, marketing, customer relationships, budgeting and distribution are all affected.
DataMentors is offering a free analysis of your customer database. We understand you are most likely already using a solution but with the test, we will clean and standardize a segment of your data to help determine whether additional data quality measures are needed.
Based on past results from companies who have taken our free analysis, we repeatedly outperform our competitors when it comes to cleaning, analyzing, and householding data. Additionally, our customized solutions are available at a more resonable investment and are highly flexible in comparison to other products available on the market today.
Simply provide us with a segment of your database. We will clean and analyze your data at NO cost to you and present you with the results.
Contact us to learn more:
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or call 813.960.7800.
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Ask for your FREE data quality analysis report and discover how you can:
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The expected results from the test are:
- Name standardization – identifying individuals (consumers) vs commercial names. And for individuals, identifying male vs female.
- Address standardization – confirming original zip codes, appending zip+4, identifying streets from high rises from PO boxes.
- State and country distributions if applicable.
- Geocoding results to tract and block level.
- The number of households at the consumer and commercial levels along with the number of records per household and individual
- Cross matches if applicable.
- Match examples showing differences with legacy keys if applicable.
Contact us at 813-960-7800 or email This e-mail address is being protected from spambots. You need JavaScript enabled to view it.


