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Virtual Report Suites (VRS) are filtered views of your main report suite, allowing you to segment and analyze data without duplicating data collection or changing implementation. Think of them like custom dashboards or lenses on your main data, created using rules and filters. A Virtual Report Suite is a filtered, customized view of your main (global) report suite. It allows you to: View only a subset of the data (based on rules/segments), Set different currencies, time zones, and component configurations, Assign access control to specific users or teams. It’s like creating custom dashboards, but at the report suite level, without duplicating or reimplementing tracking code. Why Use VRS? Imagine you have a global e-commerce website. Your report suite global_store collects all visitor data. You want: The India team to only view data from India, The Marketing team to view only campaign traffic, The Mobile team to view only mobile device data. Creating separate physical report suites for each group would be: Expensive (each suite requires separate implementation), Hard to maintain (data split across systems). Solution? Use Virtual Report Suites! How Virtual Report Suites Work VRS use segments as filters on top of the main data set. You define: What data to include (e.g., country, device type), Which components (metrics/dimensions) to show, Optional custom time zones, currencies, access rights. No changes are needed in the data collection code. Detailed Step-by-Step Example: Create a VRS for “India Traffic” Scenario: You want to give the India marketing team a report suite that only shows India-based traffic from your global website. Step 1: Go to Admin Console Log in to Adobe Analytics. Navigate to Admin > Virtual Report Suites. Step 2: Click “Create Virtual Report Suite” Base it on the global suite: global_store. Step 3: Add Filter Use a segment: Geo > Country equals "India" (You can also filter by Region, City, or IP range.) Now this VRS will only include hits where the user’s geo-location is India. Step 4: Customize Settings (Optional) Time Zone: IST (Indian Standard Time) Currency: INR (Indian Rupee) Default Dimensions: Product Name, Page, Device Type, etc. Rename metrics like "Revenue" to "Sales", if needed. Step 5: Manage Access Add only users from the India team to this VRS. They won’t have access to the global report suite. Step 6: Save and Test Name the VRS: India_Traffic_View Open Workspace, switch to India_Traffic_View, and analyze. Result: The India team sees only: Traffic from Indian users In Indian time and currency With custom-tailored metrics/dimensions All this is built on top of the same global dataset (global_store), with zero additional tracking code Multi-Suite Tagging means sending the same hit (tracking data) to multiple report suites at once. This is useful when you want the same data to appear in: A global report suite (for full company-wide analysis), and One or more local report suites (e.g., per region, brand, or team)
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