The Data Quality ROI Calculator
89% of B2B sales and marketing professionals believe data quality drives the right campaigns but only half are confident in the quality of their data. That’s why we built this calculator — to help you build an internal business case to fund and execute on critical data management initiatives. We want to help you understand the impact — both good and bad — that data quality can have on your business.
Fill in the tiles below and click “calculate.” When you’re finished, click “get complete results” to receive a downloadable version of your results with additional insights into areas of opportunity.
POTENTIAL BENEFITS ACHIEVABLE
THERE IS ROOM FOR IMPROVEMENT:
The Good News!There are many additional metrics available for you to customize your results across marketing, marketing ops., and sales that will make your estimate even more specific. Click the button below to receive a printable version of your results so far and learn how to gain additional insights.
Complete the Form to View Your Results Summary
Once you’ve completed the form, a Dun & Bradstreet representative will be in touch to walk you through the additional insights that are available.
The Science Behind the Calculations
Because data flows across various areas of your business, the calculator splits a business into three categories and twenty-three areas of focus to generate a data value statement.
This calculator is based on default metrics, each of which can be adjusted to reflect your current state.
With these results, you can gain a better understanding of how much poorer quality data can potentially be costing your business and the potential opportunity for your business when you improve it.
What is Operational Cost?
This represents the cost of managing data quality (i.e. time and resources).
What is Indirect Cost?
This represents the downstream impact of poorer quality data (i.e. your inability to segment and target prospects, personalize content, etc.).
Benefits Achievable from Working With Good Data
This is an estimated aggregate view of the potential benefits your organization can achieve by improving the state of your data quality — or how much revenue your company can make if your data gets better!