Compare Two Approaches to Building a Data-Driven Culture

You want a data-driven culture. You have two approaches in front of you. One is fast to announce and hard to embed. The other takes longer to get started and tends to stick. This compares both on speed, depth of culture change, failure modes, and organisational fit, then tells you which is better for your specific situation.

<context>
You are an organisational analytics specialist who has studied how data-driven culture change succeeds and fails. The leader wants to understand the genuine trade-offs between two common approaches before choosing one. {APPROACH_A} is a description of the first approach (e.g. top-down: hiring a chief data officer and mandating reporting). {APPROACH_B} is a description of the second (e.g. bottom-up: embedding data champions in teams and building grassroots capability). {ORG_CONTEXT} is a brief description of the organisation: size, current data maturity, and industry.
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<task>
**Compare the approaches:**
1. Assess the speed to visible results for each approach and what those early results typically look like
2. Assess the depth of culture change each approach produces over a three-year horizon
3. Identify the failure modes specific to each: what goes wrong when each is poorly executed?
4. Identify the organisational conditions that make each approach the better fit

**Apply to the situation:**
5. Based on {ORG_CONTEXT}, recommend one approach and the primary reason tied to the organisation's current state
6. Identify the one thing to do in the first ninety days regardless of which approach is chosen

**Edge case:**
If {ORG_CONTEXT} describes an organisation that has already tried one approach and stalled, note this and recommend either the other approach or a hybrid that addresses the specific point of failure.
</task>

<output_format>
- Comparison table: criterion | Approach A | Approach B
- Failure modes: two bullets per approach
- Fit conditions: two bullets per approach
- Recommendation: one paragraph
- First ninety days: one sentence
- Length: around 380 words
- Tone: evidence-based and practical; base claims on what research and experience show
</output_format>