Modern Data Platform Sales Discovery Map

The discovery flow for a CDO or Head of Data conversation about platform selection — the Fabric vs Databricks vs Snowflake decision, the qualifying signals, the objection patterns, and the path to a workload-fit answer.

BusinessCapabilityTechnology
Compass
  • Businesspersona, use case, outcome
  • Capabilitywhat the org needs to do
  • Technologythe technology choices
Guided journey · Step 1 of 4

Platform Selection Strategy

Open on platform selection — not 'which is best' but 'which workloads sit where'. Coexistence is a legitimate answer.

~ 3 weeks

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Narrative intro

Selling a Modern Data Platform to a CDO is not selling Fabric, Databricks, or Snowflake — it's selling a workload-fit decision the buyer is uncomfortable making alone. This map walks the discovery flow: open on platform selection, diagnose storage substrate, land the governance story, test the data-products commitment. Coexistence is a legitimate answer the discovery should validate, not avoid.

Key takeaways

  • Platform selection is workload-fit, not 'which is best' — coexistence is a legitimate outcome
  • Storage substrate is the longest-lived decision — ADLS, OneLake, Iceberg matter most
  • Purview Data Governance is undervalued until the first audit — surface it early
  • Data products with named owners is the maturity wedge

Programme shape

Estimated duration
6–16 weeks
Estimated FTE
Account team + data platform architect + commercial lead
Spend tier
minimal
Risk level
moderate

Platform selection is rarely a 'rip and replace' — the discovery has to surface where coexistence is the right answer and where one platform is genuinely the right anchor.

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