AUSTIN, TEXAS & OSLO, NORWAY-- December 02, 2022 -- Cognite, a global leader in industrial software, today announced a newly commissioned study conducted by Forrester Consulting that examines the potential return on investment (ROI) and business benefits asset-heavy industrial organizations can expect from deploying its leading Industrial DataOps platform, Cognite Data Fusion®.

Key results of the ROI study include $21.6 million in added net present value at a 400% ROI, arising from significant improvements to production workflows, optimization of equipment use, reduction in shutdown time, and improved maintenance planning.

Derived from first-person research and interviews across Cognite's customer base in Oil and Gas, Manufacturing, and Power & Cleantech, the study provides strong evidence that solving the industrial data problem is critical in realizing value from industrial digitalization efforts.

“The Forrester Consulting study validates for us the significant value Cognite Data Fusion creates for customers in asset-heavy industries,” said Girish Rishi, CEO of Cognite. “According to the findings, Cognite Data Fusion customers experienced significant revenue growth and cost savings, which demonstrates ROI at scale.”

Highlights of the value Cognite Data Fusion delivers include:

· $9 million gained through the optimization of heavy machinery and industrial processes
· $5.1 million saved through optimized energy use and reduced operational costs
· $4.8 million added value through reduce shutdown time
· $4.3 million cost reduction by optimizing planned maintenance

Additionally, the study found a number of unquantified benefits of Cognite Data Fusion, including reducing risks to employee health and safety and improvements to environmental, social, and governance (ESG) reporting. The value of Cognite Data Fusion stems from its ability to help organizations overcome several critical challenges related to industrial data management:

· Enhanced data access across multiple repositories
· Improved process and technology for data contextualization
· Streamlined creation of dashboards and analytics