What you have, what you get
Messy in. Clean out.
Your records live in five places and three formats. Echelon agents line them up, and ask you when a call is yours to make.
What you have
Acme Inc 03/04/24 $4k
ACME, inc. 2024-3-4 4000
, , Birch ??? 1.2k
birch co Mar 5 $1,200
cato,,,880 7/3
What you get
| Customer | Date | Amount |
|---|---|---|
| Acme | 2024 03 04 | 4,000 |
| Birch | 2024 03 05 | 1,200 |
| Cato | 7/3 pending✓ | 880 |
Asked you
You approve what matters.
The team
Four Echelon agents. One data team.
Each one owns a job, and they hand work to each other the way a good team does.
Nora
Data Architect
sets it up
Felix
Data Engineer
brings data in
June
Analytics/BI
cleans it up
Cole
Data Scientist
gets you answers
Watch the build
From raw file to answer.
Scroll to replay how the Echelon agents built it.
NoraFelixJuneColeorders_2024.csvraw file
Raw download, as exported.
0rows
monthlyfinanceproductivity
Which region is falling behind on on-time delivery?
One example, sample data.sample
Play it
Ask the team.
Pick a sample question and watch the Echelon agents hand it along.
Nora
On it.Felix
Pulling.June
Cleaned.Cole
Answer.Pick a question above.
Come back to finished work.