Case Study

A routine filter change on an air handler unit (AHU) was expected to take 30 minutes. However, inaccurate asset data led to a series of inefficiencies

The Cost of Bad Data in Asset Management

The Problem

A routine filter change on an air handler unit (AHU) was expected to take 30 minutes. However, inaccurate asset data led to a series of inefficiencies:

For an organization managing 300 AHUs, with 20% of them affected by poor data accuracy, the additional cost per filter change skyrockets to $4,500. 

This scenario is not unique. As reported by the Harvard Business Review, bad data costs the U.S. economy $3 trillion annually, impacting everything from operational efficiency to customer satisfaction. In asset management, bad data doesn’t just waste money—it erodes trust and disrupts operations.

The Whitney Solution

Whitney Technology’s platform eliminates these inefficiencies by providing:

With Whitney Technology, asset validation is faster, more accurate, and seamlessly integrated into maintenance workflows—saving organizations significant time and money

Results That Matter (Graphs)

Organizations that switch to Whitney Technology experience:

As highlighted by the Harvard Business Review, the financial toll of bad data is staggering. Whitney Technology addresses this challenge head-on, ensuring every asset is accurately documented and efficiently maintained. By eliminating the costs associated with bad data, organizations can redirect resources toward growth and innovation.

Experience the Whitney Technology difference—turn bad data into smart savings