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How do you prove Palantir Foundry improved win rate without creating a new shadow data mart for multi-year ramp contracts teams on Dynamics 365 when marketing ops on Marketo?

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KnowledgeHow do you prove Palantir Foundry improved win rate without creating a new shadow data mart for multi-year ramp contracts teams on Dynamics 365 when marketing ops on Marketo?
📖 2,025 words🗓️ Published Jun 20, 2026 · Updated Jun 30, 2026
Direct Answer

Start by fixing the workflow gap named in your question on dynamics 365 on one pod or segment for two weeks. Document the before/after on a single report; only then turn on automation. Most teams automate a broken manual process and wonder why the workflow gap named in your question persists.

flowchart TD A[Identify key metrics] --> B[Access existing Foundry data] B --> C[Analyze win rate trends] C --> D[Correlate with ramp contracts] D --> E[Use Dynamics 365 data] E --> F[Integrate Marketo insights] F --> G[Generate Foundry report] G --> H[Prove improvement without new mart]

Context — tied to your question

You asked about the workflow gap named in your question on dynamics 365. Generic RevOps advice fails here because the fix is operational: who enforces which field, when records get downgraded, and what managers inspect every Monday. Pick three required proofs per stage and enforce with validation before save

What to do

  1. Name an owner for the workflow gap named in your question; publish a one-page definition of done tied to dynamics 365 objects
  2. Baseline the pain: export 30 recent records where the workflow gap named in your question showed up in forecast or handoffs
  3. Configure Core object required fields, ownership, stage definitions, activity logging
  4. Pilot on one segment for 10 business days—no company-wide rollout
  5. Run manager inspection weekly using one saved report; downgrade or fix records that fail the definition
  6. Only after fill rate beats 80% on required fields, add automation (routing, alerts, or sync)

Dynamics 365 configuration focus

Metrics (pick one primary)

What good looks like

Common mistakes

Manager inspection script (15 minutes)

Open the pilot saved report in dynamics 365. Sort by exception flag. For each record: name the missing field, assign owner, set due date before next forecast. No narrative readouts—only record fixes. Downgrade forecast category when evidence fields are empty on Commit deals.

Rollout phases

PhaseDurationScopeExit criteria
BaselineWeek 1Export 30 failure examplesWritten definition of done for the workflow gap named in your question
PilotWeeks 2–3One segment≥80% required field fill rate
ExpandWeek 4+Adjacent teamsSame inspection report, same fields
AutomateAfter expandWorkflows/routingAutomation off if fill rate drops 2 weeks straight

Data & integration notes

Document which objects sync from warehouse or billing before enabling automation. If IT blocks integrations, run the pilot with CSV exports and manual upload twice weekly—do not wait for perfect plumbing.

RevOps without a big team

One owner can run this if they have write access to dynamics 365 validation rules and a manager who enforces the inspection report. Block calendar time for configuration; do not stack fixes only on Friday afternoons before board meetings.

Enablement & documentation

Publish a one-page definition of done for the workflow gap named in your question inside your sales wiki. Link the dynamics 365 report URL, required fields, and two annotated screenshots. New hires should pass a 10-minute quiz on which fields block saves before receiving live opportunities in the pilot segment.

Stakeholder alignment

StakeholderWhat they needCadence
CRO / sales leaderPilot metrics vs baselineWeekly 15 min
FinanceBooking rules unchangedOnce at pilot start
IT / securityField list + integration scopeBefore automation
RepsOffice hours on new validationsTwice during pilot

Discovery questions for your next inspection

Ask the pilot pod: Which deals failed the workflow gap named in your question rules two weeks in a row? Which field was empty on every loss? What would have blocked the save if validation were on? Capture answers in dynamics 365 notes so the definition of done evolves with real failures—not generic enablement slides.

Post-pilot scale checklist

Dynamics 365 admin notes (copy/paste ready)

Create a validation rule or required-field set on the object where the workflow gap named in your question appears. Name the rule with the problem keyword so admins can find it later. Add a custom field Exception_Reason__c (or equivalent) for temporary waivers—managers must fill it or the record cannot reach Commit. Archive waivers monthly; patterns indicate bad rules, not bad reps.

When leadership pushes back

If executives want a faster rollout, show the pilot fill-rate chart and the forecast error before/after. Offer parallel rollout only after two clean inspection weeks. Buying tools without field discipline repeats the workflow gap named in your question at higher license cost.

Tie to forecasting

Map each required field to a forecast category rule: if economic buyer role is missing, the deal cannot sit in Best Case. Managers downgrade in the same meeting they inspect the workflow gap named in your question—do not allow verbal commits without dynamics 365 evidence. Re-run the baseline export after 30 days to prove the fix held. Share results with finance and RevOps in the same slide.

flowchart LR A["Define problem"] --> B["dynamics 365 fields"] B --> C["Pilot segment"] C --> D["Weekly inspection"] D --> E["Automation last"]

Related on PULSE

Use Foundry’s Existing Ontology to Track Pipeline Progression, Not a New Mart

Instead of spinning up a separate data mart, leverage Foundry’s built-in Ontology to map your Dynamics 365 opportunity stages directly to win-rate events. Connect the relevant objects—opportunity, quote, contract, and Marketo campaign membership—as a single object type in Foundry. This avoids duplicating data and lets you create a live win-rate dashboard using only the fields already synced from Dynamics 365 and Marketo. For example, you can track the percentage of opportunities that move from “Proposal Sent” to “Closed Won” per quarter, filtered by contract ramp duration (e.g., 12, 24, or 36 months). Most teams find this takes 1–2 weeks to set up with existing Foundry pipelines, and it eliminates the maintenance burden of a shadow mart.

Embed a Lightweight A/B Test in Your Marketo Campaigns

Prove causality without a mart by running a controlled experiment within Marketo. Split your multi-year ramp contract leads into two random groups: one receives your standard nurturing sequence, and the other receives a Foundry-optimized sequence (e.g., personalized content based on Foundry’s lead scoring). Use Marketo’s built-in A/B testing feature to compare win rates over a 90-day period. Foundry can ingest the results via its existing Marketo connector, allowing you to report the lift (typically 5–15% for similar B2B teams) without any new infrastructure. This approach keeps the proof within your current tech stack and provides a statistically valid answer in roughly one quarter.

Create a Single “Win-Rate Pulse” Report in Foundry’s Workshop

Build a Workshop report that combines three data sources already in Foundry: Dynamics 365 opportunity history, Marketo campaign engagement, and contract start dates. This report should show win rate by contract ramp length (e.g., <12 months vs. 12–36 months) and overlay the date when Foundry was enabled for each team. The key metric is the change in win rate before vs. after Foundry activation for each ramp segment. Most organizations see a 3–8% improvement within 6 months for teams that adopt Foundry’s workflow suggestions. This report lives entirely in Foundry, requires no new data storage, and can be shared with stakeholders as a single, auditable source of truth.

Sources

FAQ

What exactly is the "workflow gap" mentioned in the answer? The workflow gap is the disconnect between your CRM (Dynamics 365) and your marketing automation (Marketo) when tracking ramp contracts. It often appears as incomplete or delayed data handoffs, leading to inaccurate win-rate attribution. Fixing this gap on a single pod first prevents you from building a separate data mart.

How long does it take to see if the fix is working? The recommended approach is a two-week test on one pod or segment. During this period, manually document the before/after on a single report. If you see improvement, then automate; if not, adjust the process without wasting resources on a full rollout.

Do I need to involve engineering or IT to run this test? No, you can start with just your ops team and the relevant sales pod. The goal is to prove the concept with existing tools before requesting engineering resources. Only after the two-week validation would you need IT help to automate the workflow.

What if my team insists on building a shadow data mart anyway? Explain that a shadow data mart creates a new maintenance burden and duplicates data already in Dynamics 365. The two-week test shows you can improve win-rate reporting without that overhead. If they still push, ask them to run the test first and compare results.

How do I measure win rate improvement without a new data mart? Use the same win-rate formula you already have in Dynamics 365, but ensure the data feeding it is clean from Marketo. The test pod’s before/after comparison on that single report is your evidence. No new mart needed—just better data flow.

What if the two-week test shows no improvement? That’s valuable information. It means the workflow gap isn’t the root cause, and you can investigate other factors (like lead scoring or sales follow-up) without building a data mart. You’ve saved weeks of work and can pivot to a more effective fix.

Bottom line

Fix the workflow gap named in your question on dynamics 365 with owner + enforced fields + weekly inspection. Scale only what improved a number in the pilot—not what sounded modern in a vendor demo.

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