The Hidden ROI: How Data Cleansing Drives Business Growth

Data Cleansing May 28th, 2025
Poor data quality costs businesses trillions annually, harming operations, marketing, and trust. Let’s find out about the true cost of dirty data, the ROI of data cleansing, a practical 5-step strategy, and how to build a data-driven culture for sustainable growth.

Is your business struggling with the silent killer of poor data quality? You are not alone. Companies globally lose trillions annually due to bad data, and the solution is data cleansing.

According to Gartner, poor data quality costs organizations at least $12.9 million a year on average.

The report further suggests that 59% of organizations do not measure data quality making it even more difficult for companies to know how much dirty data is costing them.

Inaccurate, inconsistent, and incomplete data is crippling your operations, draining your marketing budgets, and eroding customer trust.

Our comprehensive whitepaper, “The Hidden ROI: How Data Cleansing Drives Business Growth,” tells you about the transformative power of clean data and provides a practical roadmap for achieving it.

In this whitepaper, we will discuss:

  • The real cost of dirty data: Uncover the staggering financial impact of poor data quality and how it hinders growth across various business functions.
  • Unlocking the hidden ROI: Explore how data cleansing delivers impressive returns on investment, ranging from 5:1 to 15:1, through improved efficiency and decision-making.
  • A practical data cleansing strategy: Learn a 5-step approach to implementing effective data cleansing initiatives, right from assessing current data quality to leveraging AI-powered tools.
  • Building a data-driven culture: Discover how to foster a company-wide commitment to data quality and ensure a shared responsibility.

Clean data is the foundation for informed decisions, targeted marketing, efficient operations, and ultimately, sustainable growth. Download our free whitepaper today and unlock the hidden potential within your data.

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