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How to join Google Analytics 360 and Episerver

Discover how to join Google Analytics 360 with Episerver for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Google Analytics 360 and Episerver data into one target storage and analyze it with your BI Tool.
How to join Google Analytics 360 and Episerver with Pipes
Learn How


About Google Analytics 360

The Google Analytics 360 Suite is a data management platform / a set of integrated data-and-marketing analysis products. It provides analytical data which companies can use to track marketing indicators. It is designed specifically for marketers who operate at the enterprise level. This suite of products lets you analyze consumer behavior and develop relevant insights.

About Episerver

Episerver is a content management system (CMS) for web publication and connects e-commerce and digital marketing to help organizations create digital experiences for their customers. The Digital Experience Cloud Service is their end-to-end, full-stack digital platform that includes content management, digital marketing, enterprise search and digital commerce in a single cloud service.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Google Analytics 360, Episerver and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.
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