The Problem

60% of your time wrangling data. 12 'master' spreadsheets, all outdated.

You didn't get a data degree to be the human FAQ. You're a skilled analyst or engineer, but you spend most of your time on data archaeology instead of actual analysis.

Data Discovery is a Nightmare

Thousands of tables with cryptic names. 12 "master" spreadsheets that all disagree. No documentation. You guess, query, fail, repeat until something works.

You're the Human FAQ

Constant Slack pings: "Where's the customer table?" "Which spreadsheet is current?" You're interrupted 10 times a day answering the same questions. When you're busy, everyone's stuck.

Query Cost Surprises

You write a query, it scans 10TB, and now everyone's asking questions. No way to know costs before running.

The CSV Export Dance

Export to CSV, open in Excel just to check the data, fix something, re-upload. Repeat 5 times a day. You don't know where data comes from or what depends on it.

Your Time Spent Poorly

3+ hrs
Finding the right table
2 hrs
Understanding schema
5 hrs
Manual documentation
4 hrs
Troubleshooting queries
10+
Slack interruptions per day
3x
Duplicate work across teams

That's 20+ hours per month on tasks that add no value to your analysis.

"I have a PhD in statistics, but I spend 60% of my time answering Slack questions about which Excel file is current. I export to CSV just to validate data, then re-upload. I didn't sign up for this."

— Senior Data Analyst, E-commerce (500+ employees)

A Day in Your Life

9:00 Get request for customer churn analysis
9:15 Search for "customer" tables... find 47 results
10:30 Slack the senior analyst to ask which one to use
11:00 They're in meetings all day
2:00 Try a few tables, queries keep timing out
4:00 Finally get pointed to the right table
5:00 Start the actual analysis... for tomorrow

Sound familiar? See how Seambo OS boosts your productivity.

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