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A tartalmat a Aaron Phethean biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Aaron Phethean vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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S1E4 -Full stack data people with Bethany Lyons

32:12
 
Megosztás
 

Manage episode 442949333 series 3594170
A tartalmat a Aaron Phethean biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Aaron Phethean vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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.

Titles

Data: An Unsolved Problem

Innovating in the Data Space

Sound Bites

"Be a full stack data person."

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

"How do we enrich the data?"

Chapters

00:00

Introduction

00:34

Introduction and Background

03:31

Sales Dynamics in Startups

06:25

The Importance of Trust in Data

09:39

Challenges in Reconciliation

12:32

Navigating Startup Challenges

14:44

Understanding Data Challenges in Organizations

17:46

The Importance of Data Representation

20:37

Navigating Data Complexity in Business

23:39

The Role of Data Teams in Organizations

26:46

Shadow IT and Data Solutions

30:04

Broadening the Data Skillset

31:03

The Concept of Full Stack Data Professionals

  continue reading

5 epizódok

Artwork
iconMegosztás
 
Manage episode 442949333 series 3594170
A tartalmat a Aaron Phethean biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Aaron Phethean vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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.

Titles

Data: An Unsolved Problem

Innovating in the Data Space

Sound Bites

"Be a full stack data person."

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

"How do we enrich the data?"

Chapters

00:00

Introduction

00:34

Introduction and Background

03:31

Sales Dynamics in Startups

06:25

The Importance of Trust in Data

09:39

Challenges in Reconciliation

12:32

Navigating Startup Challenges

14:44

Understanding Data Challenges in Organizations

17:46

The Importance of Data Representation

20:37

Navigating Data Complexity in Business

23:39

The Role of Data Teams in Organizations

26:46

Shadow IT and Data Solutions

30:04

Broadening the Data Skillset

31:03

The Concept of Full Stack Data Professionals

  continue reading

5 epizódok

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