The Problem

You wait 3 days for data. Then dig through 5 Excel files. Then wait again.

Your projects are delayed not by engineering complexity, but by waiting for data scattered across unsourced, aggregated spreadsheets that should already be organized.

Constant Waiting

Every data request goes into a queue. Simple questions take days or weeks to answer because the data team is overloaded.

Context Lost in Translation

You explain what you need, analysts interpret it differently, results come back wrong. Repeat the cycle.

The Excel Maze

The data you need is scattered across marketing's spreadsheet, finance's model, and some analyst's desktop. Nobody knows which version is current.

Missed Deadlines

Projects slip because data dependencies weren't visible upfront. Stakeholders lose confidence.

The Hidden Costs

2-4 wks
Typical data request turnaround
Up to 30%
Project delays caused by data gaps
3x
Typical iterations to get correct data
Up to 40%
Time spent on data discovery
5+ hrs
Weekly meetings to align on data
60%
Decisions made with incomplete data

"I spend more time finding the right Excel file than actually managing my project. And when I find it, it's already out of date. By the time I get fresh data, the decision has been made without it."

— Product Manager, Series B SaaS

Sound familiar? See how Seambo OS accelerates your projects.

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