Fragmented data landscapes
Disconnected BI tools and platforms increase complexity, duplicate efforts, and undermine the availability of a single source of truth.
0% ROI
Discover the real value of data adoption and confidence
with your data product marketplace for business teams and AI agents
A commissioned study conducted by Forrester Consulting, September 2026. Based on a composite organization of 10,000 employees, built from interviews with four Huwise customers from the banking & finance, insurance, technology and energy & utilities sectors.
Latest trends shaping data product adoption strategies and AI delivery
Join our global webcast to explore the latest trends shaping data product adoption strategies and AI delivery, with insights from a guest Forrester analyst. Hear the key findings from Huwise's Total Economic Impact™ (TEI) study, and gain first-hand insights from Huwise data product marketplace customer Workday.
Shylaja Nathan
Analyst
Jan Sythoff
TEI Consultant
Joe DosSantos
Vice President, Enterprise
Data and Analytics
Why organizations can't create business value with their existing data stack
Key challenges without Huwise
Low trust in data from business users
Business users struggle to find and understand data because of inconsistent metric definitions, duplicate KPIs, and incomplete documentation.
Limited visibility and data reuse
Data analysts spend a disproportionate amount of time reconciling data rather than delivering insights, reducing overall analytics productivity.
Slow, IT-driven data access that does not scale
Centralized models limit business agility and make it difficult to scale self-service analytics organization-wide.
Huwise helps us focus on productivity and trust. Someone can assemble an analysis in an hour that used to take a week because the data is already available.
Where that value actually comes from
The real game changer: ensuring data adoption at scale by business teams
The study combines customer interviews with a risk-adjusted financial model built around a representative composite organization with 10,000 employees.
ROI Calculator
Get your personalized ROI
in one click
The more your business teams use Huwise, the higher the ROI.
To receive your detailed potential ROI, enter your organization's size and your business adoption goal!
This ROI simulator is based on time-saving variables for data and business teams, the average hourly salary of these profiles, the reduction in duplicated data products, and license and support cost savings. The share of data teams is automatically set at 2% of the organization's workforce.
Your estimated 3-year ROI
between 575% and 950%
Risk-adjusted estimate, capped for conservatism.
Currency for detailed results (sent by email)
Indicative, non-contractual estimate based on the Forrester Total Economic Impact™ methodology.
How value becomes strategic
From data investments
to business impact
Increased value created from existing data investments
Huwise sits on top of your current data stack to finally make data accessible to business teams & AI through a purpose-built interface.
Improved data literacy and data-driven culture
Self-service adoption strengthens user engagement, and drives greater confidence in using data in decision-making.
Increased organizational agility
Huwise provides a single, trusted entry point to data that aligns stakeholders around consistent information and reduces friction across teams.
Future ready for agentic AI enablement
Huwise enables scalable data access — the essential foundation for deploying high-performing AI agents and scalable automated workflows.
Simplified deployment and reduced long-term operational costs
As a SaaS-native platform, Huwise deploys in weeks without infrastructure changes. It requires significantly less implementation effort than a custom-built solution.
Huwise's Total Economic Impact™ study in 3 minutes video
With our Co-founder and CSO, Franck Carassus.
What that value looks like in practice for our customers
They trust us
The ROI is proven. The only thing left? Getting started.
Huwise bridges the data adoption gap, unlocking data value across the organization and providing the trusted data foundation that Agentic AI requires.
Download the full study
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