This is an unmissable conversation packed with innovative perspectives where Aaron Phethean and Bethany Lyons dive into the intricate world of what “full stack” genuinely means in the data realm. Armed with facts and humor, they explore the vital role of trust, and the complexities of data reconciliation. Their discussion also ventures into the dynamic startup landscape, stressing the urgent need for creative solutions to the persistent challenges in data management and analytics that so many face. With their fresh insights, this conversation is a must for anyone looking to understand the future of the industry.

Takeaways

Be a full stack data person to have a bigger impact.

Data is a digital twin of real-world processes.

Understanding data representation is crucial for business insights.

99% of data work involves plumbing, not just visualization.

Trust in data is essential for effective decision-making.

Reconciliation of data is a complex and painful process.

Startups must solve specific problems for individual users.

Data analytics is not an assembly line; it's iterative.

The future of data solutions lies in addressing unsolved problems.

Navigating the startup landscape requires understanding customer needs.

Data: An Unsolved Problem

Innovating in the Data Space

"Be a full stack data person."

"Data is just a digital twin of the process."

"How do we enrich the data?"

Introduction

Introduction and Background

Sales Dynamics in Startups

The Importance of Trust in Data

Challenges in Reconciliation

Navigating Startup Challenges

Understanding Data Challenges in Organizations

The Importance of Data Representation

Navigating Data Complexity in Business

The Role of Data Teams in Organizations

Shadow IT and Data Solutions

Broadening the Data Skillset

The Concept of Full Stack Data Professionals