Organize the work behind your data.
Keep working in the tools you already use. MyDataWork gives the work around them a home: use cases, assets, stakeholders, dependencies, value, and AI context.
Data analysts
Analytics leads
Data & platform leaders
Business & AI leaders
What's missing
Your tools help you do the work. What manages the work around them?
Your analysis gets done across spreadsheets, SQL, notebooks, dashboards, workflows, and cloud platforms. Each tool knows something about the work inside it.
What's missing is one persistent view across them of what the work is for, which assets belong together, who depends on it, what else it affects, and the value it creates. So analysts fill the gap themselves, with folders, spreadsheets, project tools, messages, naming conventions, and memory.
MyDataWork gives that work a home without changing how the analysis itself gets done.
Invisible work is fragile work.
Organize the work this way and you end up with something else as well: the work context layer for AI readiness. The record your team keeps for itself is the same record an approved AI agent can read, metadata only, once you choose to expose it.
Organize the work
Catalog assets from your tools and cloud sources. See the full picture — metadata only.
Explain the purpose
Link assets to use cases, stakeholders, objectives, and the notes that lived in people's heads.
Prove the value
Track estimated vs. realized value across teams and initiatives. Create reports that lead to action.
Prepare for AI
Expose trusted context over MCP and scope agentic use cases in Agent Studio before you build.
Asset Catalog
Find every file, query, dashboard, notebook, and workflow. Metadata only.
Lineage
Trace dependencies across tools and platforms.
Use Cases
Tie work to business objectives, stakeholders, and outcomes.
Value Portfolio
Measure value from idea to realized business impact.
Agent Studio
Define, scope, and plan agentic use cases before you build.
Workspace Agent
Surface stale work, hidden risks, and next best actions.
See how it all connects
Every asset, use case, and dependency — mapped. Trace what feeds a dashboard, spot hidden infrastructure, and see the impact before you change anything.
Already invested in a data catalog? MyDataWork complements Collibra, Alation, and Purview — adding the analyst work-context they don't capture. How we fit →
Private by default
Every member gets their own working views. Nothing is exposed to the team until they choose to share it — so people connect their real work without worrying about drafts.
Share & reuse
Publish an asset to the team and colleagues copy it into their own work. Less duplication, more momentum — and knowledge that stays when people move on.
Adoption, not surveillance
Admins see aggregate reuse and adoption metrics to guide the team — never individual contributor activity. Visibility without looking over shoulders.
Solution Packs load ready-made use cases for common scenarios — so you see value in minutes, not months.
Explore Solution Packs →Rationalize a sprawling reporting estate
Find redundant, stale, and unowned dashboards and reports hiding across your tools.
Modernize legacy workflows & spreadsheets
See what to migrate, consolidate, or retire — with lineage and value attached.
Run planning & forecasting as a governed portfolio
Bring models, drivers, and owners into one tracked, auditable system.
Prove the analytics team's ROI
Show estimated vs. realized value to leadership — evidence, not anecdotes.
What does MyDataWork catalog?
Names, types, relationships, metadata, and lineage across your analytics estate — not file contents or data values.
Does MyDataWork read my file contents or data?
No. MyDataWork is metadata only. We never read, store, or expose your file contents, data values, or query results.
How does AI work in the product?
AI helps you organize, improve, and act on your work context — from use-case proposals to automation ideas to full estate assessments.
Which tools and file types are supported?
Warehouses, BI and dashboards, transformation and pipelines, notebooks and code, spreadsheets and files, and cloud drives — the popular tools analytics teams already use. See the full list on the Product page.
Start free — it's the whole product, not a demo.
Explorer is the best way to try MyDataWork on your own data. Catalog assets, build use cases, run AI-assisted reviews, and see how your analytics work connects.
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