DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
02 Jan 202413:01pm - 02 Jan 202414:01pm
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
About the Event
In this session, the speaker explores the transformative power of A/B testing in data-driven decision-making. Beginning with an introduction to the significance of A/B testing, the talk delves into common pitfalls such as poorly defined objectives, inadequate sample sizes, and biased sampling.
The speaker will emphasize the best practices, highlighting the importance of rigorous experimental design, continuous monitoring, and the nuanced interpretation of statistical significance. Real-world applications and case studies are shared to illustrate the positive impact of successful A/B testing on key business metrics. The talk concludes by reinforcing the need to avoid pitfalls and encouraging the audience to apply the insights gained to enhance their own business decision-making processes.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
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