How to Power Better Decisions with a Modern Data & Analytics Stack


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Learn how Trumid, a FinTech credit trading solution for large banks and institutions, has enhanced its Data & Analytics Stack using Google BigQuery, Looker, and AtScale’s Semantic Layer.

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Now available on-demand!

Join this webinar featuring Senior Data Engineer at Trumid, Colin Reid, to learn how his team has enhanced its data & analytics stack with AtScale, Google Looker, and BigQuery to enable its Analytics & Data Science Teams to execute their jobs more effectively and efficiently with data at scale. 

You will hear Trumid’s story and see how AtScale’s Semantic Layer accelerates time to insight and delivers self-service data analytics with speed-of-thought query performance and consistent KPIs across their business.

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In this Webinar

You will learn about:

  • Accelerating time-to-insight and delivering self-service data analytics to employees in Google Looker, everyone’s BI tool of choice
  • Enabling speed-of-thought query performance and consistent KPIs across any BI/AI tool
  • Modeling and providing a semantic layer over data in Google BigQuery
  • Offering employees access to core business metrics and the ability to request new sources of data as analytics
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Who should watch

Data, AI & BI leaders and practitioners (e.g., Chief Data Officers, data scientists, and BI/analytics professionals) looking to modernize their data & analytics stack.