ÃÛ¶¹ÊÓƵ Analytics overview
ÃÛ¶¹ÊÓƵ 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¶¹ÊÓƵ Analytics
Use the following resources to learn the basics of ÃÛ¶¹ÊÓƵ Analytics:
Video overview
To learn about ÃÛ¶¹ÊÓƵ Analytics basics, check out this Intro to ÃÛ¶¹ÊÓƵ Analytics - Skill Builder Webinar video. The video walks you through the basics of how data is captured, how data is sent to ÃÛ¶¹ÊÓƵ Analytics, and what visualization capabilities you can use within ÃÛ¶¹ÊÓƵ 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.
For questions about which tool to use, see Which ÃÛ¶¹ÊÓƵ Analytics tool should I use?.
Go further with Customer Journey Analytics
Customer Journey Analytics is ÃÛ¶¹ÊÓƵ’s next-generation Analytics solution that lets you use the power of Analysis Workspace with data from ÃÛ¶¹ÊÓƵ 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¶¹ÊÓƵ Analytics:
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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.
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Unlimited unique values: ÃÛ¶¹ÊÓƵ Experience Platform is not constrained to any unique limitations.
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Alter historical data: Using ÃÛ¶¹ÊÓƵ Experience Platform, data can be removed or corrected.
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Cross-report-suite data: Existing implementations from multiple datasets can be combined in Platform.
For more information, see Customer Journey Analytics overview.