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6 Steps to Data Quality in Marketing Automation

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Data quality is not an accident. 74% of companies do not have a sophisticated approach to data quality, and 25% of the average B2B marketers' database contains critical data errors, which significantly impacts marketing automation. This infographic, in partnership with Marketo Champion, Inga Romanoff, explores these challenges and presents solutions to end bad data...for good.

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6 Steps to Data Quality in Marketing Automation

  1. 1. 6 STEPS TO DATA QUALITY6 STEPS TO DATA QUALITY 0 20 40 60 80 100 25% 74% 88% 36% of the average B2B marketer’s database contains critical data errors1 of companies do not have a sophisticated approach to data quality2 of records analyzed lack firmographic data3 of marketers say that data quality is the biggest obstacle to marketing automation success4 Clean, protect and enhance your data in Marketing Automation Steps to Data Quality6 Take on these comprehensive steps and you will be on your way. Perform a Data Audit Perform a Systems Audit Revise data capture processes Correct data errors Implement email alerts and reports Manage data quality across the organization of companies with central data management had a significant increase in profits2 Organizations that adopt data quality practices have nearly more revenue1 53% 70% DATA QUALITY IS NOT AN ACCIDENT THE BENEFITS OF DATA QUALITY SOURCES: (1) SiriusDecisions, The Impact of Bad Data on Demand Creation (2) 2015 Experian The data quality benchmark report (3) Ascend2 Marketing Automation Benchmark Survey, July 2014 (4) 2014 Netprospex Annual Marketing Data Benchmark Report
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Data quality is not an accident. 74% of companies do not have a sophisticated approach to data quality, and 25% of the average B2B marketers' database contains critical data errors, which significantly impacts marketing automation. This infographic, in partnership with Marketo Champion, Inga Romanoff, explores these challenges and presents solutions to end bad data...for good.

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