Infographic: The Cost of Dirty Data

CFOs consistently highlight a worrying level of data quality issues, that undermine management confidence in analytics, reporting, forecasting, and business partnering. The trouble is, that by the time finance functions have identified data quality issues, they are already, more time consuming and costly to rectify than they need to be. This infographic explores the cost of data downtime and how organizations can reduce this expense by leveraging the right data tools.

Organizational data health is similar in many ways to our own physical health. It is easy to neglect and daunting to address. However, data errors and inconsistencies, much like physical illnesses, have far better outcomes if caught early. With a recession looming, it’s essential that organizations act now to optimize their data processes and give themselves the best chance of success in the coming years.

Here we’ve covered the cost of data downtime, but the costs of adjusting processes, aligning systems, and integrating new tools can be just as large. By integrating data tools that automate the easy tasks, like connecting multiple systems, highlighting data inconsistencies, and distributing reports, you can dramatically reduce the cost and effort involved in repairing your data health project.

To learn more about how our products can increase data health and reduce the cost of data downtime visit: https://insightsoftware.com/demo.