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.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Kshitija Kulkarni

Kshitija Kulkarni

Data Science and Product @Google

With a passion for problem-solving and a deep understanding of data-driven solutions, Kshitija has been instrumental in driving innovation and growth in various industries. She earned her Bachelor's degree in Electronics and Computer Engineering from a leading university and went on to pursue a Master's degree in MIS, which gave her a strong foundation in data analysis, machine learning, and statistical modeling. With their extensive knowledge and expertise, she has worked with several high-profile companies in diverse industries, including finance, healthcare, and retail. In her current role, she leads a team of data analysts and scientists, where they leverage cutting-edge technology and techniques to drive business growth, enhance customer experience, and optimize operational performance.

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