Workshop - AI-Powered Analytics Using Copilot - Day 2

You are invited to a hands-on, two-day program led by Professor Sourindra Banerjee during his visit to the Business School.

The program is designed especially for HDR candidates and early-career researchers and is also open to academic staff across the Business School. As the sessions build sequentially, participants should plan to attend both days.

Generative AI can accelerate business analytics, but credible research still depends on well-designed prompts, sound methods and informed scholarly judgement. This program will show participants how to use Microsoft Copilot across an end-to-end analytical workflow—from importing and manipulating data to visualising patterns, estimating models and strengthening a research paper.

Day 1: Data import and manipulation; descriptive statistics and data visualisation; principal component analysis.

Day 2: Cluster analysis; linear regression; logistic regression.

By the end of the program, participants will be better equipped to:

• design defensible prompts for business and academic research;
• produce publication-quality tables and figures;
• interpret and interrogate AI-supported analyses; and
• use AI-generated feedback constructively when developing research write-ups.

Working with a real-world consumer dataset featuring brands including Kimberly-Clark, Hewlett-Packard, Aquafresh and Sotheby’s, participants will cover:

DAY 2 | Thursday 20 August | H70 Room 5070 

Participant requirements
Please bring a laptop and confirm access to Microsoft Copilot, if applicable.

RSVP: Registrations close Monday 17 August 2026. Places are limited to support the hands-on format.

About Professor Sourindra Banerjee

Sourindra Banerjee is a Professor of Marketing at Leeds University Business School, University of Leeds.

His expertise lies in three key areas:

1. understanding how emerging market firms achieve growth through international expansion and drive innovation in base-of-the-pyramid markets;
2. exploring how firms can leverage social media analytics, machine learning algorithms, and artificial intelligence technologies; and
3. enhancing the effectiveness of salespeople.

His research is best characterized as a systematic effort to integrate marketing and strategy theories with advanced econometric models, machine learning algorithms, and artificial intelligence technologies to address relevant managerial marketing challenges.
Professor Banerjee has published in Journal of Marketing (2015 and 2020), Journal of Product Innovation Management (2019 and 2023), Research Policy (2023), Journal of International Marketing (2024), Management International Review (2023), Journal of Business Research (2017), Industrial Marketing Management (2023), International Marketing Review (2018), Psychology and Marketing (2024), Stanford Social Innovation Review (2023) and Journal of Management Inquiry (2017).

His research has received several accolades. Some of the notable accolades are:

• American Marketing Association’s Excellence in Global Marketing Research Award
• American Marketing Association’s Innovation, Technology and Interactivity Award for Best Research Paper
• Dean’s Highly Commended Best Journal Article Award
• Finalist for American Marketing Association’s Sheth Foundation Journal of Marketing Award
• Finalist for American Marketing Association’s 2020 H. Paul Root Award
• Finalist for American Marketing Association’s 2016 H. Paul Root Award

Prior to joining Leeds University Business School, Professor Banerjee was an Assistant Professor at Warwick Business School, University of Warwick. Professor Banerjee received his PhD from Cambridge Judge Business School, University of Cambridge and was a visiting scholar for a year at the Marshall School of Business, University of Southern California, Los Angeles. Professor Banerjee received several scholarships like the Cambridge Commonwealth Trust Scholarship, British Petroleum Scholarship, Smuts Memorial Scholarship and the Maurice Keyworth Scholarship.

Professor Banerjee is the Co-Director of the Global and Strategic Marketing Research Centre. He was the Chair of the Marketing Department Advisory Board from 2019–2025.