Less time reconciling data.
More time making decisions.
Connect data, calculations and approval records scattered across files into one decision workflow. The aim is to reduce the effort of repeatedly collecting information and reconciling figures.
Operations based on collecting files and running separate calculations
| Dimension | Spreadsheet / manual approach | With QUNIA | Value for the operator |
|---|---|---|---|
| Data preparation | Collect and organize exports from multiple systems | Review the timing and quality of connected data in one workflow | ＋Reduce repeated collection and checks for the latest file |
| Response comparison | Maintain separate calculation files and assumptions for each option | Review options and assumptions under the same inputs and constraints | ＋Reduce confusion from inconsistent comparison criteria |
| Approval evidence | Rationale is scattered across email, messaging and files | Link the response and its conditions at approval in one record | ＋Trace who approved what, and on which evidence |
| Post-action verification | Locate historical files and actual data again for comparison | Connect the original forecast with observed outcomes | ＋Spend less time reconstructing events and more time reviewing results |
Scope: this comparison covers representative uses of each tool and QUNIA's intended added value. Individual products may also offer forecasting or optimization. Benefits are design goals, not verified performance claims; available features and impact must be assessed in a site PoC.
When several people review the same response
Reconcile figures from different files and update times, then assemble the approval rationale.
Review the same response and conditions, then connect the evidence available at approval to the subsequent outcome.
Data collection time, version mismatches and time to retrieve approval evidence
Compare both approaches using the same data, time period and operating constraints.