Interactive Tool Structure:

The user selects 2–4 things:

Step 1: Your situation

Choose one:

• Evaluating Snowflake
• Already on Snowflake
• Already on Snowflake but underwhelmed
• Planning for analytics / AI expansion

Step 2: What matters most

Choose top priorities:

• Faster access to insight
• Better data trust
• Easier scaling
• More business adoption
• AI readiness
• Lower architectural friction
• Faster onboarding of new use cases
• Better cross-team access to data

Step 3: What is hurting today

Choose pain points:

• Too many silos
• Slow delivery cycles
• Inconsistent reporting
• Weak governance
• Limited self-service
• Hard-to-scale architecture
• AI ambition without readiness
• Stretched internal teams

What the output shows

After the selections, the tool reveals:

A. Snowflake Impact Areas

A ranked list or visual score of where Snowflake is most likely to help:

• Modernization impact
• Trust / governance enablement
• Analytics enablement
• Adoption potential
• AI foundation strength

B. What this likely improves

In plain language:

• faster access to usable data
• more scalable architecture
• stronger conditions for trusted reporting
• better support for analytics and AI

C. What Snowflake does not solve alone

This is critical.

• data strategy
• ownership
• governance discipline
• adoption
• prioritization
• operating model

D. What leaders should verify next

This is the “no-BS” part:

• If governance is weak, Snowflake alone won’t create trust
• If the business is not engaged, adoption won’t happen by default
• If the team is stretched, progress may still slow after the platform decision
• If AI is the goal, the data foundation still has to be made usable

That is the page’s real value.