About MyDataWork

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.

For the individual data worker

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 opportunities, evaluate whether your tools are still the best fit, and discover external datasets that could strengthen your work — 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.

For analytics leaders and teams

When analysts use MyDataWork consistently, visibility emerges at the team level.

• See what your team is working on — in the actual files, tools, and use cases that constitute their work
• 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 evidence, not anecdote
• In shared workspaces, see which team member connected each asset — so ownership is always clear and nothing is anonymously maintained

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.

What we believe

• 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.

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.