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Contact data quality statistics

Inaccurate contact data can be harmful to an organization and may cost your company millions of dollars each year. Organizations that focus on contact data quality improve data-driven operations, marketing and general business initiatives. All of the statistics below are sourced from Experian Data Quality's latest research reports. 

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of CIOs believe data is changing the way their organization does business

of companies who have a CDO claim to have created the role in the last six months

of CIOs believe data is an asset that is not being fully exploited

of CIOs view the CDO as a trusted advisor of data across the enterprise

*Source: The Chief Data Officer: Bridging the gap between data and decision-making
Want to learn more about the Chief Data Officer role? Download the report

Data quality statistics for all industries

of companies believe data is essential to their marketing success.

of companies have experienced email deliverability issues in the last 12 months.

of companies struggle to link customer information across channels.

of organizations lack a coherent, centralized approach to data quality.

*Source: The data quality benchmark report 2015.
Get the 2015 data quality benchmark report Download now

Data quality statistics from the retail industry

of retailers have encountered problems with loyalty programs - one of the main drivers being inaccurate customer information.

of retailers can attribute revenue to email marketing efforts, but 67% have experienced email deliverability issues in the last 12 months.

of retailers are leveraging data and data quality in an attempt to optimize their customer experience.

of companies struggle to link customer information across channels.

*Source: The data quality benchmark report 2015.

Want to improve your email deliverability? See how email validation can help.

Data quality statistics from the finance industry

of financial institutions encounter problems when trying to generate meaningful business intelligence and data inaccuracies are lately to blame.

of financial institutions plan to make some sort of data quality solution a priority in the next 12 months.

of financial institutions maintain high data quality for compliance with industry and government regulations.

of revenue is wasted due to inaccurate and incomplete customer or prospect data.

*Source: The data quality benchmark report 2015.

Data quality statistics from the marketing industry

of companies now engage in cross-channel marketing and 84% face a challenge in this area of their operation.

of companies conduct email marketing campaigns, which is the most popular communication channel for 2015.

of companies have experienced email deliverability problems in the last 12 months.

of companies feel driven to turn data into insight.

*Source: The data quality benchmark report 2015.