YOOI | Value-driven Data & AI portfolio management

What's holding you back from the Data & AI value you know you can achieve?

Does your team know how to standardize assessment and qualification of incoming use cases?

Do you feel overwhelmed by unclear visibility on progress and dependencies across multiple Data & AI tools?

Are you able to track risks along the full lifecycle of Data & AI products?

Are you frustrated by failing to demonstrate the value you get from your initiatives?

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Not managing your portfolio of
Data & AI products impacts your ability to succeed and secure the adequate budget.

But it doesn’t have to be this way.

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Who uses YOOI?

From Data & AI teams, business teams, IT experts to executives,
YOOI enables end-to-end value management for your Data & AI portfolio
and serves every stakeholder's needs.

Data & AI team

Anaïs consolidates information from various tools and resources, gets visibility on the business context, and easily tracks Data & AI products delivery.

CDO

Bernard manages the entire Data & AI investments, designs and communication the strategic roadmap to ensure the organization achieves its transformation.

Business Users

Catherine easily shares her Data & AI needs from a business perspective, defines value expectations, and get visibility on progress and impacts.

PMO

David creates project and product management standards & processes for the entire organization, tracks progress across departments and align work of the different teams.

Accelerate lead time

Capture demands from business stakeholder, collaborate on qualification and prioritization, animate all decision workflows through you committees and stage gates.

YOOI helps your Data & AI team streamline processes end-to-end, ensure alignment across teams and silos, and ultimately deliver more efficiently.

YOOI mock-up platform with timeline view

Demonstrate value

Track both financial and non-financial value, by aligning all Data & AI products and use cases with outcomes (strategic business priorities, OKRs, etc.), defining expected value, and report on effective value attribution.

Adopt a value-driven approach to Data & AI to accelerate innovation
and set up data monetization models.

Govern end-to-end

Track risks, costs and progress across the whole Data & AI portfolio, to efficiently support all decision points, review committees and compliance reports.
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Check alignment of data & AI quality controls versus requirements and policies, and ensure alignment with expected outcomes.