Text decision tree

Choose conversational analytics, recurring dashboards or an existing BI layer, with clear definitions and permissions.

Adapted from Chapter 119 of Decision Trees: Frameworks for Technology Choices. Sources reviewed 2026-11-05.

START

Q0 Trusted definitions and permissions ready?
  YES -> Continue to the experience choice. Use curated data and consistent metrics. Then Q1.
  NO -> Otherwise curate the data and definitions before enabling conversational answers. Then STOP.

Q1 Existing enterprise BI contracts must remain?
  YES -> Retain the required BI layer. Connect governed Databricks data where appropriate. Then Q2.
  NO -> Otherwise evaluate the native Databricks experience without inheriting an unnecessary BI constraint. Then Q2.

Q2 Questions are predefined and recurring?
  YES -> AI/BI dashboards. Use a stable reporting experience. Then Q3.
  NO -> Otherwise continue to conversational exploration. Then Q3.

Q3 Users need ad hoc natural-language questions?
  YES -> Curated Genie Agent. Configure the data domain, rules and benchmark questions. Then Q4.
  NO -> Otherwise retain the suitable SQL or reporting interface. Then Q4.

Q4 Need a custom workflow or application?
  YES -> Databricks Apps or external app. Choose the runtime the application actually needs. Then Q5.
  NO -> Otherwise keep the selected analytics experience simple. Then Q5.

Q5 Answers, permissions, usability and cost pass?
  YES -> Roll out a bounded pilot. Monitor real questions and improve the curated context. Then END.
  NO -> Otherwise refine the definitions, examples or interface before rollout. Then STOP.

END: Choose the combination that passes evaluation. Genie, dashboards and an existing enterprise BI layer can complement each other.

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BookWriter-generated chapter 119 illustration

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Reference links

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