Capability · Real-time data & operational analytics

See sooner. Decide better.Act faster.

Unify definitions, monitor useful events, explain variances and turn each signal into a traceable decision.

A capability shaped by your flows, rules and field evidence.

TransportActive scenario01SignalCost per kilometre rises without a visible service decline.02DecisionSegment by customer, lane, vehicle, waiting and empty kilometres.03ProofContributing causes and targeted plan visible.04Active systemTMS05Active systemFinance

01 / 04Explain a margin drift

WarehouseActive scenario01SignalTheoretical stock exists but waves accumulate shortages.02DecisionReconcile locations, statuses, counts and reservations.03ProofDominant cause and impacted order population.04Active systemWMS05Active systemOMS

02 / 04Handle a stockout before the dock

IndustryActive scenario01SignalYield drops on a line without a major stop.02DecisionCompare order, material lot, setup, team, scrap and micro-stops.03ProofCorrelation and hypothesis to validate identified.04Active systemERP05Active systemMES

03 / 04Understand a yield decline

CommerceActive scenario01SignalCancellation rises on one channel while global stock remains high.02DecisionCompare allocation, stock freshness, capacity and channel rules.03ProofAction targeted at the faulty rule or data.04Active systemOMS05Active systemPOS

04 / 04Distinguish real stockout from a false promise

TransportWarehouseIndustryCommerce

Contextualised visibility

Each indicator states its scope, frequency and source.

More consistent decisions

Teams share the same definitions and escalation thresholds.

Exceptions handled early

The alert is linked to a likely cause, owner and action.

Auditable outcomes

Decision, execution and effect remain comparable over time.

Decision framework

Connect promise, responsibility and proof.

A dashboard does not create truth. It makes the source, quality, age and ownership of each data point visible to support a decision.

Business logic

Decisions start with explicit rules.

01Scattered dataTime lost reconciling02Late reportsReactive decision03Ambiguous definitionMeeting about the number instead of action04Alert without workflowNoise and disengagement

Connected architecture

Clear responsibilities, from signal to proof.

Systèmes sourcesProduce factsIntégration / dataPreserves meaningBIMakes insight actionableOpérationsCarries the decisionGouvernanceEnsures trust

Gaps to eliminate

What weakens day-to-day decisions.

Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.

Scattered data

ERP, WMS, TMS, POS and files tell different versions.

Time lost reconciling

Late reports

Observation arrives after the action window.

Reactive decision

Ambiguous definition

OTIF, margin, stockout or productivity are not calculated the same way.

Meeting about the number instead of action

Alert without workflow

The threshold triggers a notification but nobody owns resolution.

Noise and disengagement

Operational journey

A chain of decisions, not a stack of screens.

Each transition identifies the participant, responsible system and expected proof.

Collect

Bring useful events together

Sources, identifiers, frequency and quality are documented before ingestion.

Owner: Source systems / data
Proof: Data contract

Standardise

Share the same language

Master data, units, statuses, calendars and calculation rules are harmonised.

Owner: Business governance
Proof: Versioned definition

Unify

Connect the end-to-end flow

Order, stock, mission, intervention and finance are reconciled by their keys.

Owner: Data platform / integration
Proof: Usable lineage

Analyse

Move from observation to cause

Trend, variance, segmentation and comparison make the signal explainable.

Owner: BI / business analysts
Proof: Cause and impacted population

Decide

Associate an action

Threshold, priority, owner and due date turn insight into workflow.

Owner: Operations
Proof: Decision and action plan

Measure

Verify the effect

Outcome is compared with an explicit baseline, horizon and hypothesis.

Owner: BI / management
Proof: Documented impact

Decision lab

Change context. Follow what genuinely needs to happen.

These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.

Transport

Explain a margin drift

Signal

Cost per kilometre rises without a visible service decline.

Decision

Segment by customer, lane, vehicle, waiting and empty kilometres.

Expected proof

Contributing causes and targeted plan visible.

B‑AGILEdecision flowSystèmes sourcesIntégration / dataBIOpérationsGouvernance

Responsibility architecture

Unify the flow without pretending one system does everything.

The responsibilities below form a reference architecture to adapt to the existing IT landscape.

Systèmes sources

Produce facts

Owns: Operational events and master data
Publishes: Timestamped data and status

Intégration / data

Preserves meaning

Owns: Contracts, quality, transformation and lineage
Publishes: Coherent model

BI

Makes insight actionable

Owns: Indicators, analyses, alerts and distribution
Publishes: Contextualised signal

Opérations

Carries the decision

Owns: Thresholds, qualification, action and close
Publishes: Decision and outcome

Gouvernance

Ensures trust

Owns: Definitions, rights, security and lifecycle
Publishes: Rules and audit

Actionable cockpit

From KPI to decision

A useful cockpit lets users filter, drill down, compare, qualify an exception and track action—without copying numbers into another tool.

FreshnessKnow whether the indicator can support the decision
QualityDistinguish real signal from data defect
VariancePrioritise by impact, not colour
ActionClose the loop between analysis and field

Operational view · example

Freshness01Age of latest data by source

Quality02Completeness, consistency and anomalies

Variance03Actual versus target, baseline or scenario

Action04Owner, due date, status and outcome

Scattered dataLate reportsAmbiguous definition

No value is a customer measurement. Illustrative functional example.

Success conditions

What must be true before automation.

Definition before visualisation

Formula, scope, exclusions, frequency and owner are validated before the dashboard.

Visible lineage

Each number can be linked to source and transformations.

Controlled rights

Access, export, sharing and retention respect role and sensitivity.

Human in the decision

Recommendations remain subject to defined responsibilities and approvals.

Related B‑AGILE solutions

Compose the right scope.

A capability may be carried by a full suite, a standalone solution or an existing system. Diagnosis decides.

Capability

Allocation des stocks

Connects network availability to service arbitration.

Explore Capability

Alertes & exceptions

Turns a threshold into qualification, action and close.

Explore Capability

EDI, API & intégrations

Makes data contracts and events reliable.

Explore Suites

Suites EMS

Provide operational events from logistics, industry, commerce and agriculture.

Explore

Go further

Content to prepare a real discussion.

View all resources

Guide

Frequently asked questions

Decide with the right boundaries.

How long before first results?

A pilot can produce first insight within weeks if sources, definitions and owners are available. Actual timing depends on scope and data quality.

Which sources can be connected?

ERP, WMS, TMS, POS, e-commerce, IoT, files and APIs depending on rights, formats, frequencies and responsibilities.

How is quality assured?

With intake controls, transformation rules, reconciliation, lineage and anomaly handling.

Can we start with one scope?

Yes. One flow and a few critical decisions are better than a catalogue of non-actionable KPIs.

Is real time mandatory?

No. Frequency should match the decision window; real-time, event-based, hourly or daily can coexist.

How are accesses secured?

Through roles, scopes, logging, export policies and architecture suited to the systems concerned.

Your context first

Give your operational control genuine visibility.

Identify the decisions, data, responsibilities and pilot that will deliver observable value.

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