How Drizly is uncovering more value from their data and leading in their industry

Part 3 of our data monetization strategies webinar series
September 29th, 2021
11:00 AM PST / 2:00 PM EST 
Online

Data monetization strategies: Three-part webinar series

In today’s fast-changing and highly competitive business environment, growth is a top priority for nearly every organization. There is an immense opportunity to get more value from your data—and your business constantly generates more of it. Companies that deliberately commit to a data monetization strategy not only see ROI, but find competitive advantage.
This is the third webinar in a series of webinars meant to uncover insights from our customers on the following distinct strategies for data monetization:
  • Improving the customer experience
  • Transforming products
  • Uncovering new sources of revenue
At the end of the webinar, you’ll have your own opportunity to ask questions and have them answered live.

Part 3: How Drizly is uncovering more value from their data and leading in their industry

Drizly, the largest online marketplace for alcohol in North America, has been at the cutting edge of online alcohol sales as the grocery and alcohol industry has experienced huge shifts in recent years. Drizly saw an opportunity to help their alcohol producers get ahead of the trend of at home grocery delivery, and built an innovative product offering that helps them predict sales, optimize inventory, and drive growth.
In this webinar, we’re sitting down with Athena Casarotto, Associate BI Manager at Drizly, to get her insights on how Drizly has approached monetizing data by providing important insights to their alcohol producers, and what’s next on their roadmap. Join the webinar to learn:
  • How productizing data can drive revenue and add value for suppliers
  • How Drizly structured their offer to meet supplier and industry needs
  • How Drizly is thinking about the future of data products
At the end of the webinar, you’ll have your own opportunity to ask questions and have them answered live.

Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Agenda

Track 1

Track 2

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

Track 1

Track 2

Track 3

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

ALL DAY TRACKS

Day 1 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Day 2 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Day 3 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Speakers

Athena Casarotto

Associate BI Manager,

Drizly

Athena Casarotto is an analytics engineer at Drizly, the nation’s largest online marketplace for alcohol, where she leads the strategic partnerships analytics team. She manages a monetized data platform that delivers insights to key partners in the BevAlc space, in addition to supporting Drizly’s merchandising, advertising, and reporting initiatives. She holds a BS in Mechanical Engineering from WPI and an MSc in Innovation, Entrepreneurship, and Management from Imperial College London. In her spare time, she enjoys quilting, traveling, and playing rugby.


Skander Larbi

Customer Engineer,

Google Cloud


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Three-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

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h3 headline 30 characters max

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h3 headline 30 characters max

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Three-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

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h3 headline 30 characters max

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h3 headline 30 characters max

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Three-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

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h3 headline 30 characters max

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h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

Two-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

Two-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

Two-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

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h3 headline 30 characters max

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Missed Part 1?

Monetizing data by improving the customer experience with Harver

Harver has transformed the volume recruitment landscape through unprecedented automation, while enabling businesses with real-time intelligence that connects hiring data across the entire talent lifecycle. In this webinar you’ll learn how Harver took a customer first approach to analytics when building their product and how focussing on the customer experience has helped them indirectly monetize their data. You’ll walk away with first hand insights on how to approach an external data product strategy and have the opportunity to ask your own questions.

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