SMART BI · DECISION SUPPORT

A dashboard should show what deserves attention—and where to act.

GE2Smart connects the useful sources, aligns indicator definitions and links management views to the cases, risks and actions behind the numbers.

From reporting to management

More charts do not automatically create more clarity.

The useful question is not only what the number is. It is which source supports it, what changed, which cases explain the movement and which decision should follow.

01

Monthly consolidation takes a day

Exports, copy-and-paste and fragile formulas delay the moment when the figures can be trusted.

02

Indicators have several definitions

Different teams use the same word for different populations, periods or statuses.

03

A KPI has no next action

The dashboard highlights a gap but does not point to the cases or owner that can resolve it.

04

Source changes go unnoticed

A field, file or API changes and the report keeps displaying a result that no longer means what it used to.

Which decision should this dashboard support?

Name the decision
Start with an operational question: which case to handle, which discrepancy to investigate or which deadline to prepare for?
Define the indicator
Specify its calculation, source, update frequency and the person responsible for its definition.
Plan the action
Connect the indicator to the relevant case or detail. Missing or outdated data should remain identifiable.
BI building blocks

A governed view of the business, connected to the work underneath.

The right level can be a focused cockpit, a multi-source report or an operational list with alerts.

SOURCES

Source mapping

Files, databases, exports and APIs are identified with their owner and refresh rhythm.

MODEL

Shared definitions

Dimensions, statuses, periods and calculations are documented before they become KPIs.

KPI

Useful indicators

A small number of indicators answer a management question and expose the right detail.

ALERT

Alerts and thresholds

Changes that deserve attention can trigger a notification or an action list.

DRILL

From KPI to case

The user can move from a number to the records, owners or exceptions behind it.

CONTROL

Quality checks

Refresh, completeness, duplicates and anomalies are visible rather than silently absorbed.

A reporting journey

A management meeting that starts with decisions, not reconstruction.

Before

Each team exports its figures, a spreadsheet consolidates them and the meeting is spent explaining why totals do not match.

Smart Tool

The cockpit uses agreed sources and definitions, highlights movements and links each warning to the cases that require attention.

Desired outcome

The figures are ready earlier, the discussion stays focused and every indicator has a path back to the operational reality.

Related use cases

Concrete scenarios, not an abstract feature list.

Each example starts from an existing way of working, describes a possible tool and states the outcome to aim for.

Management · Multi-sourceDashboard & BI

Multi-source management cockpit

Shared definitions, alerts and links from indicators to the cases that need action.

RoleManaging directorNeedDecision support
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IT · Service ManagementITSM / Dashboard

ITSM SLA, backlog and queue cockpit

Queue age, SLA risk, escalations, recurring causes and ownership in an operational view.

RoleService Desk managerNeedDecision support
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B2B services · ManagementDashboard & BI

Contextual sales forecasting

Pipeline stages, probabilities, timing, risks and next actions brought together for a realistic view.

RoleSales directorNeedForecasting
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Operations · DataBusiness intelligence

Operational reporting across sources

Combine files, database records and exports with quality checks and a clear refresh rhythm.

RoleOperations managerNeedConsolidation
Discuss a similar case
How we move forward

Build quickly, without building blind.

The prototype reduces risk. Framing data, access rights and exceptions protects the move into production.

01

Inventory the sources

We identify the data, owner, refresh cycle and limitations of each source.

02

Agree the meaning

Indicators are defined with the people who use them to make decisions.

03

Prototype the cockpit

A representative view is tested against real but controlled examples.

04

Monitor the data

Refresh failures, changes and quality issues become part of the operating model.

Outcomes to aim for

Value should be visible in the daily work.

01Less manual consolidation

02Indicators people interpret the same way

03A direct path from KPI to action

04More confidence in the information used to decide

Frequently asked questions

Before framing your project.

The answers stay general. Your data, risks and constraints determine the final scope.

Can you work with Excel files?

Yes, when the file is a useful source or a first step. We clarify ownership, structure, refresh and the point at which a more controlled source is justified.

Do we need a data warehouse first?

Not necessarily. The first reporting scope can remain focused if the sources, definitions and refresh expectations are understood.

Can managers access the underlying records?

Yes, when the source and permissions allow it. A useful cockpit should connect a signal to the cases and owners behind it.

Can the dashboard send alerts?

Yes, when a threshold or condition has a clear owner and the alert leads to an action.

Your real case

Show us the current process.
We will tell you what is worth building.

Describe the process and mention any files or screenshots you could share during a later, secure exchange.

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