The five-day faculty development program equips participants with the finesse of marketing and retail data analysis so that they are able to create industry-ready professionals.
The Department of BITS Pilani Work Integrated Learning Programs (WILP) recently conducted a five-day workshop to equip educators, doctoral researchers and industry practitioners with data analysis and knowledge of its significance in marketing and retail today. . Practically held in collaboration with ATAL Academy, the Faculty Development Program (FDP) was titled ‘Analysis for Marketing and Retail’.
Professors from around 80 institutions across India recently participated in the program to make themselves proficient in further educating students in marketing and retail. The FDP was full of experiential learning and had the perfect combination of business, math and technology. It was spread over 15 sessions and was conducted by a distinguished panel of professors from BITS Pilani, IIM Udaipur and ISB Hyderabad.
The FDP began with a very insightful welcome speech by Professor Krishnamurti Bindumadhavan from BITS Pilani, where he emphasized the importance of data-driven business decisions.
The program was organized keeping in mind the need for advancement of human resources so that those who can work with the acquired data, understand it, gain insights from it and come up with business solutions. Gaurab Nagpal, FDP Co-ordinator and BITS Pilani’s Faculty of Decision Sciences, Analytics and Operations, said, Can. They will be able to transform students into professionals who will feel extremely comfortable working on large datasets. This will enable industry players to integrate business, data science and technology knowledge to create a unique competitive advantage for themselves. “
FDP teaches participants the significance of strong data-driven business decisions in marketing. It covers descriptive, predictive as well as prescriptive analysis in marketing and retail. Marketing analytics also had text analytics and ethics sessions, and FDP had the right mix of XL, R, and Python work.