DecisionScienceData & AI Consulting Boutique
FR/ENBrief us

data informs,
it doesn't make
any decision

Data & AI Consulting Boutique

Today, brands have access to more and more data. The paradox: they struggle to make decisions. At Decision Science, we make sense of the data you already have.

BRIEF USOUR MANIFESTO
20+ years of experience marketing data brand
40 + companies supported
21 days median turnaroundscoping → decision
6 proprietary tools
What We Do

Our playground

Brands don't need more intuition. They need evidence. Behind every major decision lies science, not a well-dressed opinion. Business, culture, impact: three areas where brands often rely on guesswork. Decision Science measures.

BUSINESS01

What the Market Really Says About You

Approach
CULTURE02

Is your brand in tune with the times?

Approach
IMPACT03

A purpose cannot be decreed—it must be proven.

Approach
How We Do It

Our Methodology

OUR METHODOLOGY01

OODA + OKR: Five Steps to Making the Right Decisions

We’ve structured the decision-making process into five rigorous steps, inspired by the OODA and OKR frameworks. No guesswork, no shortcuts: a proven process that transforms raw data into clear, actionable strategic decisions.
Learn about our method
OUR PROJECTS 02

Concrete decisions, measurable results

Every project starts with a real decision-making challenge and ends with a quantifiable solution. Discover how we’ve helped brands make trade-offs, set priorities, and take action based on evidence, not opinions.
See our projects
Case Studies

Our missions, in detail

CategoryMobility
01 / 05
BrandPremium automotive brand

"KPI Tree": a framework to align teams on a single course

In the automotive sector, complexity doesn't come from a lack of data, but from how scattered it is. On top of that, everyone tracks their own indicators with their own definitions, and no one is quite looking at the same thing. The KPI Tree is a framework for building a shared, common view of indicators: from strategic objectives down to operational measures. So that every team understands how it contributes to the goal.

KPI Treedata governancebusiness reviewSingle Source of Truth
2is the number of months it took to design and implement the modelvs. control
Step 1 Observe, analyze, auditThink big, start smart, scale fast. Define and agree on the brand's primary objective.
Step 2Define main goal and northstarBreak that primary objective down into secondary objectives and leading indicators.
Step 3 Key ResultsValidate the indicators with the executive committee. Identify the sources, the origin of the data and the transfer formats.
Step 4 Set up PrioritiesCorrective action plan for underperforming indicators.
step 5 ExecutionRegular reviews and updates, with real-time access through a dashboard. Supporting material to justify investments to the parent company.
01
KPI Tree
02
Winning the Battle for Additional Visits
03
Agentic Profiling
04
Consumer Journey Engagement Evaluator
05
The missing CRM foundation
See all missions
contact

Have a question or a brief? Let's talk about it.

We will reply within 48 hours with a actions plan, a milestone for going live and a rough budget estimate.

contact@decision-science.fr
48 h
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