THE WORK CONTEXT LAYER FOR AI READINESS
Organize the work behind your data
One workspace to catalog your assets, link them to business value, and see what to automate next.
Introducing MyDataWork
Be ready before the Agentic AI conversation starts
“The lineage visualization makes complex upstream and downstream relationships much easier to grasp.”
Data Scientist Global Health and Beauty Company
"MyDataWork solves a genuine problem - analysts deal with input and output sprawl all the time. Having something that automatically identifies connections across all your files makes the work much more manageable."
Former Supply Chain Analytics ManagerGlobal Toy Manufacturer
“An intriguing blend of knowledge management, collaboration, and data context.”
Analytics Team LeadLeading Grocery Retailer
"The control tower visibility hook is highly applicable to leaders of analytics teams. As a former manager of a large analytics department, having a bird's-eye view of what is going on across the team would have been very helpful."
Former supply chain analytics team leadGlobal Health and Beauty Company
"MyDataWork hits a pain point we constantly see: big money for catalog/lineage solutions that are very technical and IT-owned to implement and maintain and take a long time to deliver value. By contrast MyDataWork is lightweight, offers quick time to value, and is exactly what data teams need from the beginning."
Data ScientistAnalytics Consulting Firm
What we do
One place to organize your work, prove its value, and see what to do next.

Organize and share working assets
Catalog spreadsheets, SQL, notebooks, dashboards, and more in one workspace.

Connect to business context
Link assets to use cases, stakeholders, notes, and related work so the “why” stays with the “what.”

Measure and communicate real value
Track baseline-to-realized value for every use case, and push next steps into your team's workflow — including Jira.

Improve with AI
An on-demand agent reviews your workspace across six checks — flagging stale use cases, hidden infrastructure, and work losing momentum.
Everyday use cases
Practical ways to organize analytics work
Forecasting and planning
- Catalog source files, notebooks, and logic across tools
- Link them to the forecasting use case with measured value
- Let the agent flag work that's drifting before stakeholders notice
Reporting and KPI ownership
- Connect dashboards to upstream files, logic, and the people who depend on them
- Document KPI definitions alongside the dashboards they power
- Link to running notes in Google Docs, Notion, or Confluence
- Push action items to Jira or surface them for the team
Onboarding and continuity
- See every asset, dependency, and stakeholder in one view
- Shorten ramp-up from weeks to days
- Make tribal knowledge explicit and discoverable
Teams and Collaboration
- Each team member's workspace stays their own — connect your full working folders without exposing drafts or work-in-progress
- Share select assets to a team bulletin board when you're ready; teammates can copy them into their own workspace
- Team admins see aggregate adoption metrics — never per-member behavior
The Bigger Picture
Individual clarity. Organizational insight.
Built for the data worker first — with AI that flags what to automate, modernize, or enrich.
Supports your data stack
MyDataWork works alongside the tools your team already uses — through direct integrations, file cataloging, and asset recognition across a wide range of platforms and methods.























