Why Poor Data Quality Is Impacting Profits

Why Poor Data Quality Is Impacting Profits

92% of survey respondents said their customer/prospect data may be inaccurate in some way.

Incomplete or missing data: 51%, Outdated information: 48%, Inaccuracies: 44%

43% said their organizations are either “unaware” or simply “reactive” about their data quality.

63% said their companies lack a coherent, centralized approach to their data quality strategy.

53% of those at companies with a central approach say their organizations’ profits have significantly increased in the last 12 months.

Chief data officer: 29%, CIO or CTO: 23%, Data governance officer: 13%, CFO: 12%, CMO: 11%

Increased efficiency: 58%, Mobile Website performance: 55%, Improved decision-making: 51%, Cost savings: 47%, Protection of organization reputation: 46%

53% said they depend on data to understand customer needs, and 51% said it’s a great resource for finding new customers.

90% of survey respondents said their companies conduct email marketing campaigns, but 78% said their organizations have had email delivery problems in the last 12 months.

Inability to communicate with subscribers: 35%, Poor customer service: 33%, Lost revenue: 33%, Unnecessary Costs: 29%, Regulatory issues: 27%