Retail Analytics & Business Intelligence with Looker, BigQuery and GCP

Feb 9, 2022 · Toronto, Canada

Leigha Jarett – Tech Startup Advisor & Developer Advocate for Google Cloud, will explain WHY & HOW-TO use Looker + BigQuery + Serverless services for Retail Analytics & Business Intelligence. So, whether you want to build a self-service Analytics Portal to uncover profitable insights, improve your cross-channel Digital Marketing, or implement better Product Recommendations, you are in for a treat!

AGENDA

6:00 – 6:15 Introductions, Networking & Opening remarks
6:15 – 7:15 Feature Presentation
7:15 – 7:45 Q&A - Unique opportunity to chat with Leigha
7:45 – 8:00 Manning Publications raffle & Closing remarks

Please bring along plenty of enthusiasm and questions – we're looking forward to it being a fun-filled evening :)

HOMEWORK

1. Register for Google Cloud Next '21 because Leigha will be sharing all things Looker and VertexAI during her "Build an interactive machine learning application with Looker and Vertex AI" session: https://cloud.withgoogle.com/next/register

2. Register for JOIN@Home 2021 because Leigha is speaking at this event too: https://looker.com/events/join/register

3. Get to know Leigha:
* "Data-driven responses to COVID-19 using Looker and BigQuery" https://youtu.be/K82N1aCEbz0
* "Database to Dashboard: Connecting to BigQuery and Analyzing Data with Looker" https://youtu.be/H8JI0UUTfy0 & https://cloud.google.com/blog/topics/developers-practitioners/go-database-dashboard-bigquery-and-looker

COMMUNITY

* Any tips to make our Community more valuable to you?
Please fill the survey to share your ideas & to win in the Manning Publications raffle: https://forms.gle/oH2ZTnSgMTH41xsg7

* Would you like to present at our events?
Join the Community via http://slack.serverlesstoronto.org & post your proposal to the #want-to-present Slack channel https://serverless-toronto.slack.com/messages/CGG6LJGKD.

* Sorry!
Our Google Meet subscription limits us to 150 attendees, so RSVP ASAP to avoid disappointment because we have no way to bypass this hard limit.

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