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On-Demand Webinar

Dangers of Homogeneous Sampling – How Your Data May Be Telling You the Wrong Story

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About this Series

Diversity in Data is a groundbreaking webinar series showcasing professionals from diverse backgrounds who are driving innovation in data science, analytics, and technology. Each session explores cutting-edge trends, ethical challenges, and emerging technologies through inclusive, dynamic conversations.


Join us for the inaugural event to gain fresh insights and strategies from leading BIPOC voices shaping the future of data.

Join the Conversation with BIPOC Experts in Data

Are your data insights reliable, or could they be leading you astray? Homogeneous sampling—data drawn from narrow or similar groups—often introduces significant bias into analyses, skewing insights and resulting in faulty decision-making.

In this thought-provoking discussion, our seasoned data experts will explore the dangers of homogeneous sampling, its impact on business decisions, and actionable steps to ensure your data truly reflects reality.

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Webinar Details

Topic

Dangers of Homogeneous Sampling: How Your Data May Be Telling You the Wrong Story

Date & Time

January 16th, 2024 @ 11:30 pm

Format

Panel discussion + Q&A

(25 minutes discussion + 10 minutes Q&A)

Cost

Free

Duration

35 Minutes

Meet the Experts

Nadji Bessa-540px

Nadji Bessa

Director of Engineering
@ Infostrux

Nadji is a seasoned engineering leader with over 15 years of experience in software development and data engineering, specializing in building scalable data solutions and leading cross-functional teams to drive innovation.

Anirban Aikat-540px

Anirban Aikat

Principal, Data Management
@ Infostrux

Anirban specializes in data governance and strategy, helping businesses unlock the power of their data.

What You'll Learn

Understanding Sampling Bias

How homogeneous sampling introduces hidden biases and leads to misleading insights.

Detecting Homogeneity in Your Data

Practical strategies for identifying when your sample lacks diversity and how it impacts your analysis.

Broader Business Implications

Real-world examples of how homogeneous sampling caused significant business missteps—and how to avoid them.

Practical Solutions and Best Practices

Expert tips on expanding your sampling methods for more robust and representative data.

Tools for Improved Data Collection

Explore advanced techniques and tools to diversify your data sources and enhance the quality of your insights.

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Why This Matters?

Homogeneous sampling isn’t just a technical oversight—it’s a critical risk to your organization’s decision-making process. Join us to ensure your insights reflect the full story, not just one part of it.

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