BI & Decision Intelligence — Evolve phase · AI & Analytics

BI & Decision Intelligence

The evolution of the dashboard: from "what happened" to "what action to take"

Traditional dashboards tell the story of the past: they show what happened but leave management to work out what to do about it. BI & Decision Intelligence goes one step further: it combines historical data with predictive models to anticipate market trends and suggest which actions to take. Not just reporting, but real support for decision-making.

At a glance

The service in brief

Service
The evolution of BI toward decision intelligence: historical data plus predictive models.
When you need it
Dashboards show only the past, and management struggles to see which actions to take.
R.O.C.E. phase
Evolve: the fourth phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
Area
Part of "Getting AI into Production," among the AI & Analytics services that sit alongside the AI path.
Scope
Dashboards and BI, historical data, predictive models, decision recommendations.
Distinct from
The generative AI path (large language models, retrieval-augmented generation, agents): this service works with analytics and predictive models.
When you need it

When data shows only the past

The service is useful when the company already has data and reports but cannot turn them into decisions: the numbers say what happened, not what is worth doing.

Dashboards that show only the past, with no forward view.
Decisions made on gut feeling despite the data available.
No predictive support to anticipate market trends.
Reports that capture a snapshot but suggest no action.
Historical data piling up but underused.
Management looks at the numbers and asks, "Now what?"
Difficulty moving from data to concrete choices.
What it includes

From dashboard to decision

Advanced BI

Modern, clear, and reliable dashboards and reporting, as a solid foundation for adding predictive capability.

Predictive models

We combine historical data with predictive models to anticipate trends and scenarios, beyond a simple snapshot of the past.

Decision recommendations

We turn forecasts into operational guidance: not just "what happened," but "what action to take."

The key idea

From "what happened" to "what to do"

Not just showing what happened, but suggesting which actions to take.

Decision intelligence is the natural evolution of BI: it puts data at the service of the decision. And generative AI is not necessarily required — the value often comes from solid predictive models applied to the data you already have.

Technologies

The technologies we use

Some of the technologies and platforms we work with on this service.

Yellowfin
Apache Superset
Databricks
Tableau
Qlik
Power BI
ThoughtSpot
Amazon QuickSight
R
Knime
Dataiku
Python
Getting AI into Production

The AI path and the other services

The area brings together four pillars along the R.O.C.E. path for generative AI, plus two "classic" AI & Analytics services — this one among them.

FAQ

Frequently asked questions

What is decision intelligence?

It is the evolution of BI: it combines historical data and predictive models to suggest which actions to take, not just show what happened.

Do you need generative AI?

No. This service relies mainly on analytics and predictive models. It is "classic" AI, but effective: not all the value comes from LLMs.

How is it different from AI in Production Enablement?

That service brings LLM and generative solutions into production and runs them. This one evolves BI toward predictive analytics and decision support.

Does it start from the data I already have?

Yes. It makes the most of the historical data already in the company, often underused, by adding predictive capability.

How is it different from a regular dashboard?

A dashboard shows what happened. Decision intelligence anticipates trends and suggests what is worth doing.

Do you need a modern data platform?

It helps: a solid, integrated data foundation makes decision intelligence more effective. This is the bridge to the Fragmented Data Ecosystems area.

Do you want your data to tell you what to do, not just what happened?

Tell us which decisions you want to support with data and what you already have: we evolve your BI toward predictive models and concrete decision recommendations.

Request a consultation

From data to decisions

Tell us which decisions you want to support with data and what you already have: we evolve your BI toward predictive models and concrete recommendations.

Advanced dashboards and BI, clear and reliable.
Predictive models to anticipate trends and scenarios.
Recommendations: not just what happened, but what to do.

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