Are you a marketing professional looking to pull data on a regular basis from multiple campaigns across different platforms? Struggling to link your campaign data with your sales and inventory? Hitting the limits of the reporting capabilities of Shopify or Google Analytics?
Ecommerce retailers often face these common data challenges. But with the right data solution, these businesses can empower their data to continually meet business goals like optimizing marketing ROI.
In this webinar, we demonstrate how to pull data from multiple marketing and digital commerce sources into Snowflake using Rivery, then seamlessly visualize it in Tableau.
About the Tech
Tableau allows users to see and understand data through its highly intuitive interface and visually stunning dashboards. Keyrus is a Tableau Gold Partner.
Snowflake is a leading cloud database, allowing huge scalability and leading performance without the cost or administrative overhead of traditional solutions.
Rivery is a cloud-based data ingestion tool, allowing quick and easy connections to virtually any cloud data source. Seamlessly move data from an API into Snowflake and run logic to join and transform the data into a reporting format for Tableau.
These technologies are dynamic and user-friendly, enabling your business with readily available self-service analytics. With this type of tech stack, you are not only automating and streamlining data integration but also setting up your ecommerce data solution for success, no matter where you start.
Who this webinar is for:
Marketing Executives
Supply Chain Executives
Digital Marketing Managers
BI & Reporting Managers
Agenda
Introductions & Keyrus Background [0:18]
eCommerce Business Goals & Data Challenges [6:05]
How to choose data platform architecture [12:12]
Tableau [16:07]
Rivery [19:15]
Snowflake [21:16]
Building a Tech Stack - Rivery, Snowflake, Tableau [22:35]
Demo [24:06]
Data integration in Rivery [24:40]
Different data layers in Snowflake [33:23]
Data visualization in Tableau [35:17]
Key Takeaways [47:55]
Q&A [50:30]