About MyDataWork
We built MyDataWork because the work behind data deserves its own home
Modern analysts support colleagues, customers, and partners across a growing collection of files, dashboards, SQL scripts, notebooks, and workflows. Over time, that collection becomes hard to navigate. Context gets scattered. Knowledge disappears when people change roles. And the value of data work stays invisible to the people who most need to see it.
MyDataWork fixes that — for the analyst doing the work, and for the leaders who depend on it.
We built MyDataWork because we believe the people who actually do data work — the analysts, BI developers, data engineers, and data scientists — are about to be more important, not less, in the agentic AI era. Agents will only succeed at scale where the context they need has been organized, named, and connected.
That context is what data workers create every day. MyDataWork is built to make their context visible, useful, and ready — for the work they do today, and for the AI systems their organizations will deploy tomorrow.
You are always working. MyDataWork makes sure you are always ready.
- Connect your file folders and your assets appear automatically — a live catalog of everything you’re working on
- Link files to use cases, record stakeholders, set objectives, track value delivered
- See how your work connects — which models feed which reports, which pipelines support which dashboards
- Get AI-powered recommendations based on your files and use cases
- Push use case updates to Jira when your organization requires it — document once in MyDataWork, share anywhere
- Export a clean portfolio to share with anyone, any time
- Use AI to identify automation candidates, evaluate tool modernization options, discover external datasets, and ask questions about your workspace from any screen — all from inside your workspace.
- See which data sources your files depend on that aren’t yet tracked — surfaced automatically as you work, not discovered after something breaks
When your manager asks what you’re working on, you have an answer. When a stakeholder needs an update, you have the context. When you hand off a project, nothing is lost.
When analysts use MyDataWork consistently, visibility and coordination emerge at the team level — without a top-down rollout.
- See what your team is working on — in the actual files, tools, and use cases that constitute their work
- Run your team without a separate admin tool — add members, manage roles, and transfer ownership directly in your workspace
- Share a single Connector across multiple workspaces — one install, multiple analysts, no IT involvement
- Track team-level signals — assets shared, reuse rates, ownership of every connected asset
- Connect deliverables to business outcomes, stakeholders, and dependencies
- Onboard new team members faster — the workspace is already documented
- Make the case for data investment with bottom-up evidence — the realized value of analyst work across the team, captured organically as it happens
This is governance that starts with the analyst, not imposed from above. No lengthy implementation. No IT project. Analysts connect their folders and start working. The benefits scale naturally.
- Data work creates value that is often invisible without the right context around it
- The analyst closest to the work is the best source of that context — and the least supported in capturing it
- Organizing data work should feel useful immediately, not like a project on top of a project
- When individual analysts document their work well, the benefits scale to managers, IT, and the whole organization
- Visibility into data work is not a compliance requirement — it is a competitive advantage
- AI should amplify what analysts already know about their work, not replace the judgment they have built through experience
- Honest numbers matter more than impressive ones. MyDataWork surfaces when reported values look like outliers relative to your other work — a quiet check that keeps your portfolio grounded in reality. This approach is inspired by the field of robust statistics, pioneered by Professor Gilbert W. Bassett Jr. of the University of Illinois at Chicago, which is concerned with producing reliable insights even when data is messy or contains outliers.
- Data workers are about to matter more, not less. The agentic AI era will reward organizations that have invested in their analysts, BI developers, and engineers the people who hold the context AI cannot generate on its own. MyDataWork is built for that future, but useful today.
Is MyDataWork right for you?
Individual analysts and Data Workers who want to be more organized, more prepared, and better able to communicate the value of what they do.
Analytics leads who want visibility into their team’s work without adding bureaucracy.
Data and platform teams who know that sustainable governance starts with the people doing the work.
IT and data governance teams who need bottom-up evidence that data investments are generating business value — and who want analysts to surface dependencies and migration opportunities before they become incidents or budget conversations.
Business and AI leaders who want to know what’s actually happening in their data investments — and who recognize that the analysts, engineers, and scientists doing the work are the foundation any AI initiative will depend on.