The Cost of Bad Data: What Is It Really Doing to Your Business?

Bad data quality is more than an inconvenience. It wastes time, costs money, and puts your business at risk.

IBM estimates that poor data quality costs the U.S. economy over $3 trillion per year. Meanwhile, a 2020 Gartner report revealed that organizations lose an average of $12.9 million per year due to bad data alone.

The root of the problem often lies in outdated systems, manual errors, and siloed data sources. When teams can’t rely on the accuracy of their reports, strategic decisions become guesswork. Processes become inefficient, opportunities are missed, and productivity suffers. Over time, even minor errors can snowball into major challenges that are difficult and expensive to fix.

The good news is that these challenges are avoidable.

Modern data management tools such as TimeXtender help ensure data is accurate, consistent, and accessible. With the right solution in place, organisations can reduce manual work, improve data governance, and make better informed decisions. Automated processes also reduce the risk of error, making it easier to maintain reliable data across systems.

Good data quality isn’t just about fewer mistakes, it helps people work smarter, act faster, and make better decisions. Whether the focus is on compliance, reporting, or strategic planning, trustworthy data forms the foundation.

Curious about how bad data may be affecting your business and what you can do to fix it? Get the insights you need, download our white paper today to protect your business from costly data mistakes.

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