---
sourceDocument: Xanadu Platform Analytics
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/xanadu/now-intelligence

 Release :

    - xanadu

ft:locale :

    - en-US

ft:publication_title :

    - Xanadu Platform Analytics

ft:clusterId :

    - par

bundleId :

    - par

workflow :

    - Platform


---

# Performance Analytics data flow

# Performance Analytics data flow {#ariaid-title1}

* Release version: Xanadu
* 
* Updated August 1, 2024
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Before you get started with Performance Analytics, understand how the data
flows through the platform, ultimately resulting in your ability to visualize process
improvements.  
1. Daily business operations and interactions generate data and populate the respective business process tables. Example: Submitting a new incident creates a record in the Incident
   table.

2. Active scheduled jobs run regularly to take periodic snapshots of process behavior. Each job calculates indicator (KPI) scores, based on metadata in PA indicators and breakdowns. Over time, this continuous stream of scores builds a trend.

   Example: A
   collection job counts the number of incidents in the Incident table daily. After one
   month, a trend containing about 30 data points can be viewed.
3. Data snapshots and scores are stored in Performance Analytics data tables. These tables are the source of all Performance Analytics visualizations.
4. Widgets present indicator scores in a specific format, such as a trend line or a bar chart.Example: The Number of new incidents is an indicator you may want to track. This
   indicator can be visualized as a single score or a trend of daily readings over time by
   configuring the appropriate widget.

5. Multiple Performance Analytics widgets are presented in a single Dashboard view, allowing stakeholders to view all relevant business process information in a single place.
{#pa-data-flow__ol_wpj_yfb_hhb}  
Figure 1. Data flow in Performance Analytics