Project Background

Enhancing the customer experience (CX) is a key driver of success for premium restaurants. This project, modeled after Harvard’s renowned case study approach, empowers students to explore CX strategies employed by brands like Wagamama and Nando’s. Over six weeks, participants will learn how to collect and analyze customer feedback, identify pain points, and leverage AI tools to develop actionable CX improvements. By the end of the project, students will create a professional report and presentation, showcasing their recommendations for enhancing customer satisfaction and brand loyalty. This hands-on experience helps students stand out in university applications while gaining real-world insights into data-driven problem-solving.

Future Leader's Challenge

Do you have what it takes to enhance the dining experience at a premium restaurant? This six-week challenge tasks students with analyzing real-world customer feedback and using accessible tools like ChatGPT to develop innovative CX solutions. You’ll step into the shoes of a consultant, learning to tackle challenges like service delays, customer dissatisfaction, and brand perception. By the end of the program, you’ll present a professional report and recommendations that reflect your ability to think critically, use data effectively, and deliver impactful solutions.

Are you ready to lead the next wave of customer-centric innovation?

Cohort Leader

Professional experience:
Head of Customer Experience - Ed Tech | Program Manager - Customer Experience and Insights to Action - Food Tech | International Business Development Manager & Brand Manager - Automobile & Agriculture Industry | Product Marketing Manager - Adhesives Industry | Business Strategy Consultant - Silicone and LED Industry | Mergers and Acquisitions - Legal | Contract drafting - Legal

International experience:
Have lived/studied/worked in UAE, Singapore, Indonesia, Netherlands, Germany, Belgium and India. Crafted professional relationships in Zimbabwe, Ethiopia, Tunisia, Ghana, South Africa, Nigeria.

Proud achievements:
With a GMAT score of 730 (96 percentile), received a full scholarship to pursue MScBA Master in Management from the globally reputed Erasmus University in The Netherlands.

Skills you develop in this project:

Data Analysis and Interpretation: Data scientists must possess strong analytical skills to extract meaningful insights from complex datasets. This involves gathering, cleaning, and processing raw data, then applying statistical and machine learning techniques to uncover patterns and trends. Students will develop the ability to interpret these findings and use them to inform business decisions or solve real-world problems.

Technical Skills in Data Tools: In this project, students will learn to work with user-friendly tools like Tableau or MATLAB to visualize and analyze data. They will develop the ability to create meaningful charts, dashboards, and reports, making it easier to interpret data trends and communicate insights without needing to write code. These tools help students turn raw data into clear, actionable information for decision-making.

Critical Thinking and Problem Solving: Data scientists need strong problem-solving skills to design data-driven solutions to complex issues. This involves breaking down ambiguous problems into manageable components, selecting the appropriate algorithms or models, and continuously refining solutions based on feedback and performance metrics. Students will also learn to evaluate trade-offs between accuracy, speed, and complexity, ensuring their solutions are practical and scalable.

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Domain	Data Science & Analytics (+AI)
Sub Domain	Analytics
Program Type	Industry Cohort Program
Level	Intermediate
Time commitment:	Project Duration: Duration: 6 weeks Expected workload: 3 hours/week > Weekly meetings with your Cohort Leader > Independent research and analysis. > Collaborative tasks, if applicable.

Data LYTClub

Data Analytics offers rapid career growth, exciting challenges across industries, and significant earning potential for those passionate about technology and analytics.

Benefits of LYTClub Membership:

1) Be Part of an Exclusive Community: Connect with like-minded students and build your network with future data leaders, industry mentors, and alumni from top data-driven companies. Start creating connections that will fuel your career early on.

2) Hands-On Industry Experience: Get a taste of what it’s like to work in top tech and data-driven companies. Learn directly from professionals who have worked at Google, Amazon, Microsoft, and more. Gain the real-world insights that will put you ahead.

3) Exclusive Discounts: Access discounted rates for top-tier courses in data science, coding, and interview preparation from our trusted partner companies. Get the skills and guidance you need to ace your future internships and job interviews.

4) Launch Your Future in Data: Whether you’re interested in AI, machine learning, or data analytics, the Data Pioneers Club offers you the platform to explore, learn, and grow in the world of data science and analytics.

Sign up to receive a complimentary handbook about 'Career in Data' compiled by our Data Leaders from Google, Nike & Adidas.

Industry Facts

High Demand: Data analysts & scientists are in demand across industries, solving critical problems with data-driven insights and helping businesses make better decisions.
Skill Development: Builds expertise in data analysis, machine learning, programming, and storytelling with data. Data scientists work in industries like finance, healthcare, retail, tech, and more.
Top Companies: Major employers include Google, Facebook, Amazon, Microsoft, and specialized firms like Palantir, Snowflake, and Databricks.
Competitive Pay: Entry-level salaries in data science range from €50,000-€75,000 in Europe and $90,000+ in the U.S. With experience, salaries can surpass six figures.
Global Mobility: Data science roles offer opportunities to work globally, especially with remote work options and projects across borders.
Career Path: A stepping stone to leadership roles in AI, machine learning, and business strategy or entrepreneurship in the tech and analytics sectors.

VisionnaireX

Enhancing Customer Experience at Premium Restaurants: A Data-Driven Approach

Cohort Project under Data Science & Analytics