See MyDataWork in action.
Short, focused walkthroughs — from cataloging your work to proving its value and scoping an AI agent. Pick a topic and press play.
Structure for the Freedom That Defines Data Work
The idea behind MyDataWork: catalog your analytical work across every tool by metadata alone, organize it into use cases with measurable outcomes, and see the lineage that connects it — structure that supports the freedom in how data workers actually work.
Try now →Meet MyDataWork: A Guided Tour
A workspace that catalogs your data work and tracks the value it delivers — shown across a sample workspace of nineteen assets, seven tools, and six use cases.
Try now →Solution Packs: From a Blank Page to a Ready-Made Plan (FP&A)
How activating a Solution Pack creates pre-built starter use cases grouped under an Initiative, with editable objectives and Jira integration.
Try now →Inside the Catalog: Every Asset, One Place
How scattered analytics tools consolidate into one catalog indexed by metadata — asset records, lineage previews, and indexing via the Windows Connector and cloud connections.
Try now →External Data: Find the Public Data That Fits Your Work
Inflation, weather, employment, energy prices, demographics — published free, and most teams never get time to look. MyDataWork reads the shape of a use case, never your data, shows you which public sources fit it, and hands you a connection recipe you run in your own environment.
Try now →Use Cases: The Business Record Around Your Data Work
The anatomy of a use case: Overview, Objectives & Progress with automatic calculation, Assets & People linking, and an Action Plan with AI recommendations.
Try now →The Number You Take to the CFO: Robust Value Governance
Statistical safeguards — median-based analysis and outlier detection — that let you defend aggregated portfolio value.
Try now →Architecture & Value: Your Estate in One Picture
A leadership view that rolls your team's tools, use cases, and delivered value into one picture of your estate — a tool portfolio, capability map, dependencies, and change-impact by tool. Deterministic, aggregate, and admin-only.
Try now →Two Kinds of Context: What an Agent Needs Before It Can Be Trusted
Ask an agent what drove revenue growth last quarter and it will answer — but seven catalogued assets carry the name, four of them across four different tools, and the “semantic layer” turns out to be a spreadsheet last touched by someone who has left. Data context tells an agent what the numbers mean; work context tells it which work matters, who owns it, and what breaks when it changes. Ends on a scoped, revocable, metadata-only grant to an agent, with a preview of exactly what it receives. Representative sample data; metadata only.
Try now →MyDataWork AI: Intelligence Built into the Work
Opt-in, admin-controlled AI that works from metadata and context alone — use-case descriptions, asset names, progress notes, lineage, value figures, and stakeholder roles.
Try now →The Workspace Agent: A Worklist That Builds Itself
Automated, rule-based monitoring that builds a proactive worklist organized into Insight, Activity, and Cleanup.
Try now →Scope an AI Agent Before You Build One: Agent Studio
Scoping agentic use cases across your systems using tool metadata — never your data — and exporting a governance brief.
Try now →Cross-Company Collaboration: Share the Work, Not the Data
A supplier and a manufacturer weigh a joint demand forecast — the collaboration that usually dies before it starts. Two companies work in one Team workspace on different email domains, each publishing only the assets it chooses, with lineage running from the supplier’s forecast into the manufacturer’s inventory model. Private by default, revocable, logged. Representative sample data; metadata only.
Try now →Stronger as a Team: How Shared Assets Fuel Everyone's Work
Team workspaces where analysts share datasets without duplication while keeping independent use-case ownership.
Try now →Architecture & Value: Your Estate in One Picture
A leadership view that rolls your team's tools, use cases, and delivered value into one picture of your estate — a tool portfolio, capability map, dependencies, and change-impact by tool. Deterministic, aggregate, and admin-only.
Try now →Making FP&A Modernization Visible, Measurable, and Expandable
A headcount and OPEX planning use case across Excel, CSV, SQL, and Power BI — turning scattered assets into a defensible portfolio piece.
Try now →Global CPG Demand Forecasting: From Disarray to an Ongoing System
Scattered forecasting across spreadsheets becomes a living system that stays with the work and keeps surfacing what's next.
Try now →The Decision Record: Supply Network Optimization
Capturing an analytical study as a reusable record — linking models, data, assumptions, and stakeholders, with external dataset discovery.
Try now →Commercial Excellence: Document, Share, Operationalize
A commercial team at a fictional consumer-products company turns scattered onboarding, order-entry, and forecasting work into one connected estate — lineage that traces a forecast problem upstream, team sharing, live AI recommendations, and a leadership roll-up in Architecture & Value. Representative sample data; metadata only.
Try now →Start free — 90 days.
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