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Dataiku Delivered 413% ROI in 2024 Total Economic Impact Study

Dataiku

Through Dataiku’s Everyday AI platform, organizations increased user productivity, reduced costs, improved decision making, and quickly drove innovation with Generative AI use cases

As per Dataiku Total Economic Impact (TEI) study done by Forrester, an organization achieves a 413% ROI on the initial investment over three years (a $23.50M net present value) and considerably increased user productivity and decision-making.  

To construct the study, Forrester interviewed decision makers and four Dataiku customers across as many industries to obtain data about costs, benefits, and risks. These decision makers were in need of a shared platform to empower business and data users. 

“We were especially pleased to see interviewees mention how Dataiku enabled them to be more flexible, allowing them to adapt to the Generative AI wave and start experimenting while still maintaining strong enterprise governance standards.

Claire Gubian, Global VP of Business Transformation, Dataiku

“We believe this study confirms what we hear from our customers every day — Dataiku is bringing concrete value as the premier solution for organizations looking to optimize the power of modern analytics and AI,” said Claire Gubian, Global VP of Business Transformation. “We were especially pleased to see interviewees mention how Dataiku enabled them to be more flexible, allowing them to adapt to the Generative AI wave and start experimenting while still maintaining strong enterprise governance standards. This is an issue that’s top of mind today for organizations across all industries.”

The study found significant quantitative and qualitative benefits to the composite organization from implementing Dataiku, including:

  • Increased user productivity: By using the Dataiku platform, customers benefited from substantial efficiency savings, including over 70% time saved by data scientists and data engineers on data analysis and extraction, 80% time savings on manual processes in year three, and 40+% average time reduction for model lifecycle activities, including model training, deployment, and monitoring.
  • Reduced costs on data analytics tools and consultancies: By enabling its users to work with data, customers have realized cost savings from data analytics tools and consultancies/third party providers, which added up to as much as $5M per year. 
  • Improved decision making: Customers use Dataiku for risk estimation use cases and have recovered losses thanks to usability across their organization and the democratization of data sharing, creating over $15M in value over a three-year period. 
  • Improved governance: Dataiku’s platform allows customers to safely apply different governance models to different use cases, ensuring data security and compliance.
  • Bringing solutions to market faster: Dataiku allows customers to significantly improve product development agility and speed, reducing a process from 12-18 months down to 3-6 months, resulting in a year’s worth of business impact.

Enhanced AI use cases with Generative AI capabilities: Dataiku drives efficiencies by making LLMs more accessible, providing a graphical interface, and allowing integration with multiple LLMs, which propels adoption. 

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