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Why do Acumatica dashboards still take weeks to build?

  • April 30, 2026
  • 2 replies
  • 38 views

We’ve been working with a few manufacturing shops on Acumatica and keep seeing the same pattern:

Dashboards take weeks to stand up — mostly because everything runs through Generic Inquiries. Not hard, just time + iteration.

Meanwhile the shop floor is asking pretty simple questions:

  • who actually clocked in and is working right now
  • are we going to miss shipments this week
  • what material is supposed to arrive next week

So there’s this gap between what’s technically possible and what’s actually usable day to day.

Curious how others are handling this:

  • Are you building GIs internally or relying on your VAR?
  • How long does it usually take to get something usable?
  • Any shortcuts you’ve found to speed this up?

We ended up building a few simple dashboards outside that answer these directly, and they get used daily — happy to share if useful.

— Alex

2 replies

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  • Captain II
  • May 1, 2026

We have developed internal capability to build GI’s/Dashboards.

 

Once you know what you are doing, I think you could spin up a working dashboard in a matter of hours, depending on the complexity.

 

The longest it has taken me to build a sophisticated manufacturing dashboard, with some fairly complex validation/calculations was a day, and that was about 9 months after starting to use Acumatica.

 

A top tip would be to use as little GI’s to get the most data, then utilising the Dashboard designer to filter/display the data you want to see; the DAC Schema Browser is your best friend; gather the requirements before you start building; have scheduled feedback/improvement sessions.


  • Author
  • Freshman I
  • May 1, 2026

Appreciate the note — not trying to promote anything here.
We’ve just been seeing this pattern across a few shops and wanted to understand how others are solving it inside Acumatica today.
Especially interested if anyone has found ways to speed up GI → dashboard workflow or reuse patterns across customers.