Cost, Usage, and Performance, Explored in Plain Language

Investigating a cost spike or a strange anomaly usually means pulling data from a few different places and piecing it together yourself, which can eat up days.

• The assistant does that cross-checking for you in the background and gives you the real explanation right away
• What used to be a multi-day investigation becomes a conversation that takes a few minutes
• Your team gets the answer, not the chore of finding it

Knowing something is expensive isn’t the same as knowing what to do about it.

• Ask about a cost driver and it doesn’t just flag it, it points you toward the fix, like where a query could be optimized or simplified
• It surfaces the specific opportunities worth acting on, so your team spends its time fixing things instead of searching for them
• That means real savings get found faster, not just noticed later

Understanding how everything in your data environment connects usually takes real digging.

• Ask what depends on a piece of data, or what would be affected if something changed, and get a clear answer immediately
• You get that view on demand, in conversation, instead of having to map it out yourself
• It’s a flexible way to understand your environment that adjusts to whatever you’re actually asking, not a fixed report

Snowflake gives you the raw data. Seemore Assistant gives you the understanding.

• Seemore enriches and processes your data through its own mapping of how everything in your environment connects, something Snowflake alone doesn’t build for you
• That’s why the assistant can answer questions Snowflake’s own tools can’t: it’s working with a deeper, more connected picture of your environment
• It only tells you what to do, it never makes a change on its own; you’re always the one in control