By Alexa Garrison, Director of Data Analytics @ Convene

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Image courtesy of Data Culture.

Over the last decade, large technology companies like Netflix, Google, and Spotify have set the standard for building data organizations with well-defined roles and responsibilities. Their robust organizations are hallmarked by wide-sprawling teams of data engineers, data scientists and data governance professionals all working together with different specializations. Everything from the ETL pipeline, data integrity and privacy, analytics dashboards, and machine learning optimization is expertly managed and maintained from a centralized org with clear data strategy leadership.

While we know what a robust data organization should look like, it is much…


By Nicole Maffeo and Catherine Williams, Google AI Research team

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Stealth-mode Startup, 2016. Left (Catherine Williams) | Right (Nicole Maffeo)

Disclaimer: The views and opinions expressed in this article are those of the authors, and do not necessarily reflect the official policy or position of their employer

What are your predictions for the field of data in the new year?

Data fairness, the democratization of AI, and increased investments in the integration of data management into ML-Ops will all likely be key in 2021.

Fairness is at the cornerstone of Responsible ML. Fair datasets make fair models. Algorithmic bias is one the biggest problems in making AI driven products, and it’s very hard to battle as an afterthought. …


Data Culture Co-Founders Leah Weiss and Gabi Steele on their first year in business and the future of data.

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Image courtesy of Mosiah Rashaad; Gabi Steele (left), Leah Weiss (right)

I’m curious how you would describe “Data Culture” and what it means to both of you?

L: It’s an important question, because “Data Culture” isn’t necessarily a destination where one day you’ll have arrived, it’s a process you undertake. Your data will never be 100% perfect, and you will always be iterating. But no matter how mature you are as a data organization, in a data-driven culture, employees at every level should be able to surface opportunities for more-informed decision making…


1 data analyst ≠ data-driven culture

By Gabi Steele, Leah Weiss & Barr Moses

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Image courtesy of Cookie the Pom on Unsplash.

As businesses increasingly leverage data-driven decision making, the ability to use and understand data at the company-wide level becomes mission critical. While tech behemoths like Netflix, Airbnb, and Spotify have strong data cultures built over the last decade, most companies often face challenges getting up and running with data. Data Culture co-founders and former WeWork data leads Gabi Steele and Leah Weiss, and Monte Carlo CEO and co-founder Barr Moses share what it takes to make an impact with data at your company.

It’s 2 a.m. You’ve been staring at an Excel…

Data Culture

We build data-driven organizations and create lasting data culture.

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