Experimentation Design for Innovation and Business Growth

Apply Online

Have you ever wondered why despite developing customer experiences, evaluating new plans of action, creating new brands and offers, even the most experienced executives and top firms, are not able to reach their potential? Instinct, experience, and information alone don't work. So what does work? Running controlled business experiments. Business experimentation is—rightfully—framed as a gold standard by scholars and leading practitioners. However, it is yet to find its way into most firms’ day-to-day strategy. Although many businesses are aware of the importance of experimentation and analytics in decision-making, few have the resources to properly deploy a sophisticated analytics programme. This is further complicated due to humongous data availability in today's world. The training program is designed to impart deep understanding of business experiments - design and analysis and its application in decision-making across all business domains. Specifically, the training program will also focus on online experimentation and A/B testing to strengthen relationships with internal and external stakeholders.

The training program is designed to impart deep understanding of business experiments - design and analysis and its application in decision-making across all business domains. Specifically, the training program will also focus on online experimentation and A/B testing to strengthen relationships with internal and external stakeholders.

- The basics of business experiments - What questions can be answered - How to get the most value out of experiments - Key applications in Business Decision-Making - Examples of Successful Business Experiments - Types of Experiment Designs - Quasi Experiments, Field Experiments and Randomized Control Trials - Online Experiments and A/B Testing - A Step-by-Step guide to Business Experiment Design and Analysis - Pretests, Design of Instrument, and Stimuli Selection, Manipulation checks, Sampling strategy, Reliability and Validity - Analysis of experiments using tools like R - Capabilities and Resources required

Management Professionals

Course Details

Venue Online
Duration 18 Hrs.
Starts On Feb 12, 2024
Faculty Prof. Sanjeev Verma / Prof. Vartika Srivastava / Prof. Megha Gupta

Fees Details

Duration Professional Fee*(Per participant) GST(18%) Total Fees(Per Participant) Programme Code
18 Hrs. 10,500.00 1,890.00 12,390.00 1 24 4 62
Apply Online

Download Brochure

*
*
*
*