The work behind data is the bottleneck for AI.
The opportunity to connect analytical work to the investments it supports — and where MyDataWork fits. A view for investors, partners and teams planning their next step.
AI initiatives need more than access to tools and data. They need context about purpose, ownership, relationships and intended outcomes. MyDataWork helps teams record that context around analytical assets and use cases, so people and approved agents can work from a shared understanding.
The work spans FP&A analysts, demand forecasters, BI developers, analytics engineers and data scientists. Across SQL, spreadsheets, dashboards and code, the same questions recur: what is this for, who depends on it, and what outcome does it support?
Work context alongside catalogs
Data catalogs can provide governance and business context. MyDataWork focuses on the practitioner’s use cases, linked assets, stakeholders and recorded outcomes, complementing existing catalog investments.
Connect spend to recorded value
Architecture and cost tools describe systems and spending. MyDataWork adds use-case context and recorded value and utilization signals to help teams assess the work those investments support.
A bottom-up wedge
Start with a practitioner organizing one use case. Extend the shared record across a team so leaders can review priorities, dependencies and outcomes. Adoption can grow with the work rather than requiring an enterprise-wide rollout first.
For investors & partners
We are building a workspace that connects analytical work to business outcomes and provides governed context for AI. If you are exploring this space or see a partnership opportunity, we would like to talk.
Read the approach and its practical implications in the MyDataWork position paper (PDF) →.
MyDataWork helps teams record and assess work context; value figures remain the estimates and realized outcomes they enter.
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