Business Deep Dive Lyon: Albert School’s Immersive Data Experience

What is a Business Deep Dive (BDD)?

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A Business Deep Dive is a total immersion in the world of data, where students analyse real-life cases using genuine datasets supplied by our partner companies. Unique to Albert School, this initiative lets our bachelor students in Lyon put into practice—over one month—the full range of data and business skills acquired during their programme. Working in teams, they confront varied business issues and present strategic recommendations to seasoned decision-makers.

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How often do students take part in these simulations?

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Organised eight times a year for bachelor students and twice a year for work-study master students, each Business Deep Dive has its own flavour: diverse requests, datasets of varying size and complexity, and therefore the chance to apply and extend a broad spectrum of analytical and strategic skills. Repeated throughout the year, this flagship programme at Albert School Lyon is a true skills accelerator for future data-analytics experts.

Discover more about the Business Deep Dives at Albert School

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Why is a Business Deep Dive a unique experience?

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• Understand a company’s business issues: grasp the stakes and the market context to craft sound recommendations.
• Analyse real data cases: solve concrete problems using authentic datasets.
• Hands-on approach: apply Albert School training in Data Analytics, SQL, Python, Machine Learning, Strategy and Data Visualisation.
• Expert guidance: mentoring by data and business professionals from partner firms.
• Intra-student competition: teams of 3–4 students challenge one another, driving every group to excel and compare different approaches.
• Data-driven competition: results are delivered as a dynamic pitch before company executives.

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What does a BDD immersion look like?

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Step 1: Kick-off and challenge definition

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Each Business Deep Dive Lyon starts with a presentation of the business challenge set by the partner company. Students explore the dataset, define the stakes and set objectives. This exchange between students and professionals is crucial to refine the brief and gauge the company’s issues.

Step 2: Data exploration and analysis

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This key phase is split into two major stages:

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1. Data preparation:

Understand and structure datasets: examine data sources, grasp their structure and identify key variables.

Handle missing values: detect gaps and decide on deletion, imputation, etc.

Correct errors and detect anomalies: clean outliers and inconsistent formats to secure a reliable base.

Detect outliers and normalise variables: smooth extreme points to improve model performance.

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2. Advanced analysis and modelling:

Explore key trends: descriptive statistics and visualisations to spot overall patterns and relationships.

Statistical and ML modelling: apply predictive or explanatory models to draw precise insights and enhance decision-making.

Visualise insights with Python and Power BI: present findings clearly and convincingly.

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Step 3: Results presentation and recommendations

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Albert School Lyon students produce a detailed analytical report and craft a compelling pitch to convince the partner company of their recommendations. After the presentations, one team is declared the winner, receives a prize and enjoys extra visibility with recruiters.

Alt: Albert School Lyon students pitching their recommendations to Descours & Cabaud executives

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BDD feedback: a springboard to employment

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Bachelor students report a strong impact on their employability:

• Acquisition of technical skills applied to real business stakes.
• Soft-skill development: public speaking and the ability to highlight key project points; collaborative project-management experience vital for inter-departmental data-analysis roles.
• Unique networking opportunities with recruiters and sector experts: direct dialogue with data specialists and potential internships for high-performing teams.

Read the student testimonials (See testimonials) – anchor to be created as no dedicated page exists yet.

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Data-business immersions on varied issues with major local companies

Through a network of local partners, Albert School Lyon students work on strategic topics such as:

• Optimising product assortments to maximise revenue for Groupe SEB.
• Improving raw-mill performance in the cement industry for VICAT.
• Optimising product data on the Prolians.fr site for Descours & Cabaud.

(Come and discover our partner companies in Lyon and across France)

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A Business Deep Dive: a gateway to data careers

The Business Deep Dive Lyon is a real springboard to careers in data and business intelligence. Repetition and variety of analyses let students progress rapidly into high-demand roles such as Data Analyst, Data Scientist or Business Intelligence Analyst. Beyond skill gains, each case feeds a personal data portfolio—an invaluable differentiator on the job market.

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Can I try this exercise?

Yes! During certain open days at Albert School Lyon we run three-hour “mini” Business Deep Dives, coached by our students. In teams, you receive a dataset and a business question to solve—an authentic taste of a BDD. Come and test your analytical skills!

Alt: BDD immersion during an Open Day in Lyon.

(For more information on the Lyon campus)

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Why choose Albert School Lyon for data and business training?

• An innovative programme that fuses data and business intelligence, creating dual-profile graduates companies need.
• A “learning by doing” philosophy with real corporate cases for professional readiness.
• A partner-company network offering recruitment opportunities.

Download the programme brochure!

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Ready to dive into data?

If you want to boost your analytical skills and work on real company cases, join us on the Lyon campus and take part in amazing Business Deep Dives to become true data-analysis professionals!

One requirement to take part: you must be an Albert School student—don’t miss your chance and apply now!

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