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Make sense of your data

Turn messy spreadsheets into clear answers.

Upload raw sheets

Drop in your spreadsheets exactly as they are.

Acct Account
Rev_Q2 Revenue
Region Name? Region
A-102
$48,200
EMEA
A-155
$19,880
West
A-228
$64,510
North America

Identify all tables

AI detects every usable table across the workbook so nothing important stays hidden inside messy sheets.

Sheet 1

Revenue table

Sheet 2

Customer table

Sheet 3

Orders table

Tables detected

12 tables

Structured ranges were found across multiple sheets and exports.

Merged regions

2 reviewed

The detector separates real tables from headers, notes, and formatting noise.

Understand the dataset

See how the tables connect, which fields belong together, and how the business entities relate before you make decisions from the data.

Entity relationships

Customer
Order
Invoice
Revenue

See strong joins and weak spots at a glance.

Linked entities

4 groups

Join confidence

High

See what questions are answerable

Check which business questions this dataset can answer right now, which ones are partial, and what is missing.

Coverage

0%

Revenue by region, partner performance, and cohort trends are answerable.

Which regions drove Q2 revenue?

Answerable

Which customers are attached to each order?

Answerable

Can we compare partner performance by cohort?

Partial

Can we forecast churn from this export alone?

Needs more data

Plan transformations with support

Move from analysis into action with AI-assisted transformation support for renaming, reshaping, and preparing the dataset for downstream use.

Revenue table

acct_idtext
rev_q2currency

Customer table

customer_idtext
region_nametext

Orders table

order_idtext
customer_reftext

Final table

account_idfrom acct_id
revenue_q2from rev_q2
customer_idjoined
regioncleaned
order_idprojected

Ready to export