Model collapse
Source of truth is a Confluence page. Identity rules drift the moment go-live ships. Most common.
Three Salesforce clouds, three versions of the same customer, and a license bill that goes up the longer the data model stays unwritten. The engagement designs the data graph, identity rulesets, and activation plan before any code ships. Three weeks. Build-ready.
The operating theory the assessment runs on. Four failure modes, in order of frequency. You will know which one by Friday of week 2.
Source of truth is a Confluence page. Identity rules drift the moment go-live ships. Most common.
Data Cloud was sized against ingested rows nobody actually needs. The invoice keeps the org awake at night.
Segments build cleanly and never reach the channel that triggers revenue. Marketing keeps running yesterday’s campaign.
Consent and sharing decisions get deferred to "phase two" and never get made. GDPR risk compounds.
If you do not recognize any of these, the architecture probably is not the bottleneck. The discovery call says so honestly, before any contract gets signed.
Documents the engagement leaves behind. No retainer required to keep them. No follow-on dependency by design.
Entities, attributes, ownership. The dictionary the rest of the org references for the next three years.
Deterministic plus probabilistic resolution rules, tested against your real source extracts, not against a demo org.
Right-sized Data Cloud licensing shape, with rationale for every ingested row. Sized to the model, not to vendor enthusiasm.
A 25 to 40 page document a competent integration engineer can implement without re-architecting.
The timeline below is fixed. If discovery surfaces something that warrants a longer engagement, the SoW gets amended in week 1, not by surprise.
Every system, every owner, every contract. Ingestion priorities ranked by ROI, not by vendor enthusiasm.
Canonical schema. Identity resolution rulesets. Segmentation and activation strategy.
Right-sized license scope. Vendor questions. Build-vs-configure calls.
Optional. Architecture authority during delivery, alongside your team or SI.
No license resale. No implementation team to feed. The recommendation is allowed to be "stop."
Prompts get tuned by anyone. Data access models get fixed by someone who has shipped them. Different problem.
A report a CTO can mark up and take to the board survives the next staff change. A deck does not.
“His insights are always spot-on. He sees the architecture problem before anyone else can articulate it, and his recommendations are framed in language a non-Salesforce CTO can actually action.”
A short list of who this engagement was built for, and a shorter list of who it was not.
If yours is not here, ask on the call. The answer will be specific.
It unifies customer data across Salesforce clouds and external sources into one profile, then powers identity resolution, real-time segmentation, and activation. Without it, every cloud has its own version of the same customer and no one is complete.
No. Licensing sizing is a one-page appendix at the end of the engagement. The output is a build-ready architecture document a delivery team can execute against.
Yes. That is the most common timing. The architecture decides the SKU shape, not the other way round. Most clients save 20 to 40% on the first license quote once the data model is honest about what gets ingested.
Then the report says so. About one in five engagements ends with "stay on MuleSoft for another two quarters, here is the architecture that makes it survivable." That answer is the deliverable.
MuleSoft moves data between systems through APIs. Data 360 unifies identity and activates segments natively inside Salesforce. They solve different problems. The engagement names which one your situation actually needs.
The engagement specifies them. Build is delivered by your team or your SI against the spec. The architecture document is precise enough that a competent integration engineer can implement without re-architecting.
Paris and Seoul. The work is delivered remotely with two on-site days in week 1 if your team is in EMEA.
English and French, written and spoken. Korean conversational.
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