ANALYTICS AND BI · FACTS TO DECISIONS
Sales, stock and field-team activity in reports and dashboards. Trace a KPI exception to its source operation and the person responsible for the next action.
A dashboard does not begin with a chart
Next decisionChange the priority of a region or SKU and assign the cause review.
Next decisionReview the cause, revise the task or change the next visit plan.
Next decisionReallocate available stock or review a delayed movement.
Next decisionRelease a verified block or escalate it to the owner of the stage.
Every metric must answer: where did this number come from?
Distinct outlets with a confirmed qualifying event in the agreed time window
If the layer is not readyThe metric cannot be traced to a primary record.
If the layer is not readyA discrepancy enters the calculation without a visible warning.
If the layer is not readyTwo reports answer different questions under the same metric name.
If the layer is not readyThe visualization exists but does not change an operational action.
One data model - different decision horizons
Decision supportedChange a commercial priority and assign an owner for the review.
Decision supportedRedirect the team's focus and verify the next execution cycle.
Decision supportedAssign a revisit, coaching action or cause review.
Decision supportedComplete the priority action and record the outcome.
Decision supportedRevise the mechanic or route an exception for correction.
Decision supportedApprove an exception or strengthen the collection action plan.
Decision supportedSelect the operational priority and name the accountable manager.
Analytics ends with another measurement
Stage outputA priority question is stated without a separate manual consolidation.
Stage outputThe operating cause is separated from a data issue or external factor.
Stage outputThe deviation has an owner and a next step.
Stage outputThe team sees whether the fact changed after the action and what comes next.
Before publishing the first KPI
Who approves the meaning, formula, dimensions and definition changes.
Which system and operation own every input fact.
Required fields, duplicates, omissions, disputed statuses and their review path.
When the dataset is current and how synchronization delay is made visible.
Which decision the signal supports and which fact verifies the result.
For the analytics decision
Start with a management question and the source fact: a dashboard earns its place when an exception leads to an owned action.
Not necessarily. Smartup can provide analytics from distribution facts and work within the agreed data architecture; the boundary with the existing BI platform is set per project.
No. Agree sources, master data, formulae and quality owners first. Otherwise visualisation merely exposes old discrepancies more quickly.
Templates and a report builder do not replace a clear question. Acceptance should test the required view, the path to source facts and the owner’s response to an exception.
Platform scale
Shared customer, outlet and SKU master data connects each operation with sales, inventory, finance and analytics.
active mid-sized and large companies in Central Asia
daily active users
confirmed integrations
Which measure do you review, and what decision does it inform? Tell us about your data sources and current BI system so we can define the view and calculation rules.
