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ÃÛ¶¹ÊÓÆµ Analytics overview

ÃÛ¶¹ÊÓÆµ Analytics enables organizations to gather data and gain actionable insights from any digital customer interaction. With in-depth analysis, versatile reporting, and predictive intelligence, organizations get the insightful foundation they need to build better experiences for their customers.

Get started with ÃÛ¶¹ÊÓÆµ Analytics

Use the following resources to learn the basics of ÃÛ¶¹ÊÓÆµ Analytics:

Documentation resource
Function
Get started (by role)
Provides detailed information explaining key features and tasks you need to be aware of, whether you are an administrator, analyst, end user, or developer.
Understand the Analytics interface
Outlines key areas of the Analytics interface.
Use cases
Explains some of the key ways that ÃÛ¶¹ÊÓÆµ Analytics helps organizations gain critical insights in order to better serve their customers.
Which ÃÛ¶¹ÊÓÆµ Analytics tool should I use?
Contains recommended use cases for each ÃÛ¶¹ÊÓÆµ Analytics tool.
Analytics product comparison and requirements
Compares the various ÃÛ¶¹ÊÓÆµ Analytics products that are available.
System requirements
Explains prerequisites and system requirements for implementing and using ÃÛ¶¹ÊÓÆµ Analytics.

Video overview

To learn about ÃÛ¶¹ÊÓÆµ Analytics basics, check out this Intro to ÃÛ¶¹ÊÓÆµ Analytics - Skill Builder Webinar video. The video walks you through the basics of how data is captured, how data is sent to ÃÛ¶¹ÊÓÆµ Analytics, and what visualization capabilities you can use within ÃÛ¶¹ÊÓÆµ Analytics. The video provides a foundation for you to build, deploy, collect, and interpret data, allowing you to provide actionable insights and recommendations based on the collected data.

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See VideoCheckedOut for the webinar video.

For questions about which tool to use, see Which ÃÛ¶¹ÊÓÆµ Analytics tool should I use?.

Go further with Customer Journey Analytics

Customer Journey Analytics is ÃÛ¶¹ÊÓÆµâ€™s next-generation Analytics solution that lets you use the power of Analysis Workspace with data from ÃÛ¶¹ÊÓÆµ Experience Platform. It can break down, filter, query, and visualize years’ worth of data, and is combined with Platform’s ability to hold all kinds of data schemas and types.

Following are some of the advantages of Customer Journey Analytics over ÃÛ¶¹ÊÓÆµ Analytics:

  • Unlimited variables and events: The concepts of eVars, props, and events no longer exist. Data is primarily focused on dimensions and metrics. Datasets can have an unlimited number of unique dimensions and metrics.

  • Unlimited unique values: ÃÛ¶¹ÊÓÆµ Experience Platform is not constrained to any unique limitations.

  • Alter historical data: Using ÃÛ¶¹ÊÓÆµ Experience Platform, data can be removed or corrected.

  • Cross-report-suite data: Existing implementations from multiple datasets can be combined in Platform.

For more information, see Customer Journey Analytics overview.

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