The Pathway to Explainable and Responsible Business Analytics

Last day of registration: 30th March, 2023



SKU: | Start date: 7 April 2023 Category:


About the workshop:

This masterclass zooms in into the developments of the data science field. A critical success factor for many companies is the way they crunch their structured and unstructured (text, audio, video or image) data to improve their managerial decision-making. This workshop zooms in into the state-of-the art of the current field of Operations Research and discusses three types of analytics: predictive, explainable and responsible analytics. These types are illustrated with real-life case studies.

Duration: 1 hour + Q&A


Instructor : Professor Kristof Coussement,

Professor of Business Analytics

Director of the IÉSEG Center of Marketing Analytics (ICMA)

Academic Director of the MSc in Big Data Analytics for Business

Lille campus, France



Session date : 7th April, 2023

Timings : Friday 7 :30pm – 9:30pm IST

4: 00pm – 6:00pm Paris time

Mode of workshop: ONLINE

Registration fees and Certificate

Course Fee : Rs 236/- ( Rs 200 +18% GST)

Certificate : Certificates will be provided to ONLY those participants who attend the workshop.

About the Instructor

Professor Coussement develops and teaches several business analytics and data science courses  amongst “Business Analytics”, “Fundamentals of Data Science”, “Data Science for Managers”  and “Analytical Customer Relationship Management” in specialized masters, doctoral programs  and executive education programs. He co-developed an online methodological course “Text  Analytics” on BlueCourses that is an online data science learning platform whose profits are used  to clean up our precious oceans from plastic. He chairs a post-graduate MSc in Big Data Analytics  for Business that is specifically designed to deliver business-value creating data scientists to the  global job market. 

In his research, Professor Coussement primarily aims to advance the business analytics field by  developing innovative, value creating decision support frameworks. He is acclaimed for his work  on incorporating textual data sources into conventional – mainly predictive modeling – settings  using text analytics and deep learning methodologies and his contributions to the field of  interpretable data science. His work has been published in international peer-reviewed journals  like Research Policy, International Journal of Forecasting, Data Mining and Knowledge  Discovery, Decision Support Systems, Information & Management, International Journal of  Information Management, European Journal of Operational Research, Annals of Operations  Research, Sensors, Computers in Human Behavior, Journal of Product Innovation  Management, Journal of World Business, Journal of Business Research, Journal of Advertising  Research, Industrial Marketing Management, Journal of Marketing Management, European  Journal of Marketing, Computational Statistics & Data Analysis, Expert Systems with  Applications, Knowledge-based Systems, and several other journals. He founded and chairs the  IÉSEG School of Management Center for Marketing Analytics (ICMA) that is a research center  focusing on developing innovation trajectories in data science with companies. He has been chair  holder of several research projects for large European companies, including La Redoute (2014- 2017), InSites Consulting (2014-2017), Leroy Merlin (2016-2019), and Crédit Agricole (2016- 2019), and is currently leading the IÉSEG School of Management (2017-2023), Enfocus (2020- 2023), Oney Bank (2020-2023) and Crédit Agricole (2020-2023) research chair. He serves as  Senior Editor on the editorial board of Decision Support Systems since 2019.

Professor Coussement has been visiting various institutions as a Visiting Fellow, including the  University of Western Australia (Australia) (2013, 2014, 2019, 2020, 2023), HEC Liège (Belgium)  (2022), TIAS School for Business & Society (Netherlands) (2018, 2019, 2020, 2021, 2022), HSE  University (Russia) (2019, 2020, 2021), Vlerick Business School (Belgium) (2014, 2015), Geneva  School of Economics and Management (Switzerland) (2013, 2014, 2015), and EM Lyon (France)  (2011). 

Professor Coussement regularly delivers tailor-made executive education workshops and advises  companies on how to innovate and create business value through data science. He has solved  various data science puzzles by crunching datasets originating the banking & insurance (Crédit  Agricole, AXA, ING, Crelan, Oney), retailing & e-tailing (La Redoute, Manutan, Metro, Leroy  Merlin, Amazon), entertainment & publishing (, Canal+, Corelio), social media  (Twitter, CSRwire,, IoT (Mealhero), human resources (Adecco), consulting  (InSites Consulting, Direct Social Communication) and telecommunication (Orange, Telenet)  industry.


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