Enterprise Scenarios
When you know what you have, the initiative becomes plannable.
Three high-stakes initiatives where knowing your analytical estate — instead of guessing at it — is the difference between plannable and reactive.
Scenario 1 · Tool migration
Migrate what you can actually see
The most common reason tool migrations fail is that nobody knows what they have.
Migrations hit their surprises in the middle phase — undocumented workflows and unmapped dependencies — and run two to three times over schedule. MyDataWork removes the surprise:
- Continuous asset inventory built into daily work — not a one-off audit that's stale by go-live.
- Dependency lineage showing downstream impacts before you move anything.
- Stakeholder mapping for targeted, no-surprise communication.
- Value documentation distinguishing high-impact workflows from low.
- Migration Assist evaluating modernization fit per asset or workflow.
- Architecture & Value placing every platform on a value × utilization quadrant — so leadership sees which tools to invest in, migrate, tolerate, or retire before the project starts.
Mid-size migrations run $300K–$1M over 12–18 months. Team Growth ($3,900/year) for 18 months is ~$5,850 — roughly 0.2–0.7% of migration cost — and can save 3–6 months of timeline.
Scenario 2 · Agentic AI strategy
Ground your AI strategy in real work
Gartner estimates 40% of agentic AI projects will be canceled by 2027 — primarily over missing context.
Strategy built on top-down assumptions stalls when pilots meet fragmented, undocumented workflows. MyDataWork gives you the bottom-up picture:
- Bottom-up inventory of the analytical use cases you actually run.
- Dependency mapping of each workflow's inputs and outputs.
- Stakeholder ownership for accountability.
- Value documentation to prioritize by business impact.
A single failed initiative burns $250K–$1.5M in aggregate cost. MyDataWork runs ~0.1–0.6% of one failed initiative.
Scenario 3 · M&A and reorganization
Integrate two estates without the guesswork
Integration stalls when neither side knows what the other actually has.
Duplicate tools, overlapping workflows, and stakeholder confusion slow every merger. MyDataWork inventories both sides in one format:
- Rapid dual-organization inventory in a unified format.
- Overlap identification for consolidation decisions.
- Dependency mapping protecting critical workflows through the transition.
- Stakeholder mapping reducing political friction.
- Value documentation focusing integration energy where it counts.
- Architecture & Value giving each side’s leadership one aggregate picture of tools, value, and dependencies — the fastest way to compare two estates.
Analytics integration typically takes 18–36 months and several million dollars. MyDataWork is a fraction of a percent of that — and can save 6–12 months of integration timeline.
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The work context layer that makes your analytics AI-ready.
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