TARG ONE / Ask Targ
Ask the business a question. Ask Targ.
Because TARG ONE holds the full operational context in one data model, intelligence is not an add-on. Ask Targ lets people query the business directly and get answers grounded in live operational data.
- What caused material usage to increase this month?
- Which purchase orders are currently delayed?
- How much finished goods inventory is available?
- Show unusual production variance this week.
- Which customers have overdue invoices past 30 days?
- Compare this month's material cost to last month's.
Example questions. Ask Targ is part of ONE Intelligence.
Why this works
Intelligence needs context. TARG ONE has it by design.
Context first
Every module writes to the same data model. Ask Targ reads that same model, so it can answer questions that cross sales, inventory, production, and finance without anyone building a report first.
Generated from governed operational data
Answers are generated from the operational records themselves, not from an export, a copy, or a summary written ahead of time, so what an answer reports is what the system holds when the question is asked.
A worked example
Every answer shows its sources.
An answer is only worth as much as what stands behind it. Ask Targ cites the records it read and says how current they are, so the answer can be checked against the operation rather than taken on trust.
Answer
Material usage is 6.2 percent above plan this month. Most of the difference sits in two production orders where actual consumption ran ahead of the bill of materials, both on the same resin grade.
Read from
- PRD-2418Production order, batch 2418
- PRD-2431Production order, batch 2431
- BOM-114Bill of materials, resin grade 114
Data as of
12 March, 09:40
Covers
Production orders raised this month for resin grade 114, at the Cikarang site.
Ask Targ summarizes the records it cites. Check the sources before acting on an answer.
What Ask Targ is
Grounded, plain, and close to the work.
Grounded in operations
Ask Targ works from the same operational records the business runs on, not an export or a copy.
Plain language
Teams ask about the operation the way they would ask a colleague, and drill in from there.
Available where the work happens
Ask Targ sits inside TARG ONE, next to the records it is answering questions about, not in a separate analytics tool.
Platform direction
From answers, to insight, to action.
Ask Targ today answers questions about the operation. The direction for the platform is a system that goes further: surfacing insights before anyone thinks to ask, assisting decisions with the operational context behind them, and, over time, executing routine operational actions. That direction is not fully built. It is described here as where the platform is headed, not as a capability available today.
Run your business as one
See it running on your own operation.
See how Ask Targ fits inside TARG ONE, next to the modules it reads from.