New Age Data Analytics for Marketing Professionals From Institution to Insight November 25-27, 2026

Role of AI and machine learning in marketing analytics

Experimental design and A/B testing for marketing decisions.

Customer and segment profitability analysis.

Descriptive, predictive, and prescriptive analytics for marketing applications.

Customer insight generation through data-driven approaches.

Analytics-enabled strategies for customer acquisition, retention, satisfaction, and loyalty.

Sales and product demand forecasting.

Data visualisation and managerial data storytelling.

Develop a comprehensive understanding of new-age data analytics tools and techniques, including AI-enabled applications.

Apply data-driven frameworks to key marketing decisions such as segmentation, targeting, customer insights, customer acquisition and retention, satisfaction, and loyalty Use

Analytical models for demand forecasting, market sizing, and sales planning

Interpret analytical outputs to support managerial decision-making rather than purely technical analysis

Master data visualization and storytelling to effectively communicate insights to stakeholders and foster a data- driven culture within their organizations.

Gain hands-on exposure to industry-standard analytical tools, and enhancing technical competence.

Interactive lectures and faculty-led discussions

Group exercises and hands-on analytical workshops

Real-world case studies, including cases authored by Programme Directors and published by Harvard Business School and IVEY Publishing

Hands-on exposure to some of the industry-relevant analytical tools such as Microsoft Excel, SPSS, Power BI etc.

Startup founders and business heads seeking to leverage analytics for growth in resource constrained environments

Professionals with an analytical orientation aspiring to move into analytics-driven marketing or consulting roles

Executives seeking to strengthen their capability in evidencebased, data-driven decision- making