CDO Matters Podcast

CDO Matters Ep. 35 | Speaking the Language of Business and Data with Veronika Durgin

Oct 19, 2023

Veronika Durgin, VP of Data with Saks, shares insights on applying the '30% rule' to learn the language of business. They discuss centralization benefits, the obsession with decentralization, and the importance of a common language in data management.

43:17

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Episode guests

Veronika Durgin

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Episode notes

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Quick takeaways

Veronika Durgin emphasizes the importance of continuous learning and adapting to different languages and terminology in the business world.

Veronika Durgin highlights the need for transparency, communication, and alignment between consultants and internal teams in data initiatives.

Deep dives

Veronica Durgen's Data Journey

Veronica Durgen shares her data journey, starting from her childhood in Russia to immigrating to the United States. She discusses her career path, including her background in data and how she fell into the field. Veronica emphasizes the importance of continuous learning and adapting to different languages and terminology in the business world. She also highlights the challenges of being a working parent and the agility required to balance multiple responsibilities.

Introduction

2min

Introduction, Clarification, and Excitement

2min

Fan Meeting and Veronica's Data Journey

7min

Language Barriers and Gratitude

20min

Benefits of Centralization and the Perception of Security as a Bottleneck

2min

Obsession with Decentralization and Skepticism Towards Vendor Claims

8min

The Importance of a Common Language in Data Management

4min

Episode Overview:

In the 35th episode of the CDO Matters Podcast, Malcolm speaks to Veronika Durgin, the VP of Data with Saks. As a data leader with more of a technical background, Veronika shares her insights on how she's applied the '30% rule' to learn the foreign language of business - a critical key to her success in data leadership.

Throughout the conversation, Veronika shares other practical lessons she's learned that make her such a learned and inspiring member of the data leadership community. Her story shows that with plenty of hard work, a dedication to learning, and plenty of self-awareness, a successful career in data is possible regardless of your background. 