Adobe Analytics

Suppose your organization is starting to employ Customer Journey Analytics (CJA). In that case, you may notice some differences between traditional Analytics and CJA, particularly around the count of metrics such as Unique Visitors and People when comparing data between AA vs. CJA.

This blog post discusses how to handle "No Value" entries in CJA. It covers available methods for administrators to mitigate them in the Data View component settings and at the user level in workspace projects.

Histograms show the shape of your data and show how frequently every value in a data set occurs relatively unbiasedly. Histograms make it easy to see the most common and the least expected values. The horizontal axis shows your data values, where each bar includes a range of values. The vertical axi...

Skillful configuration of the data view component and global filter settings is critical for building effective Data Views that enable insights into customers' journeys. In this guide, we will review Customer Journey Analytics (CJA) data views component and global filter settings.

Understanding Data Views is pivotal to getting the most out of your Adobe Experience Platform analytics data. In this guide, we will discuss the basics of Customer Journey Analytics (CJA) data views setup and how they can benefit your company.

Organizations should periodically review their implementation's settings/components to ensure it is optimally configured.

Using the Workspace Project PowerPoint Exporter in Adobe Analytics Labs, exporting visualizations and Freeform tables into a PowerPoint deck is possible, as opposed to relying on .pdf or .csv versions of the report. 

Leverage your regional sales data to derive actionable insights that can help your organization get more leads, close more deals, and ultimately grow your business.

Adobe Analytics Labs provides users with forecast time-series data within line visualizations. Time series forecasting analysis shows how data changes over time and can identify the direction in which the data changes. 

Organizing and managing vast amounts of data is crucial for organizations as they scale analytics across their businesses, as users must stay up-to-date on tag management. Tag Manager, a new Adobe Analytics Lab feature, can help with this organization and management.