Data Collection Best Practices

[Thomas_Davis]

Performance Analytics uses scheduled jobs to collect and clean scores and snapshots and enables you to manually set or import scores. During this Performance Analytics Academy on October 21st, we discussed Data Collection Best Practices and showed methods to make sure that Data Collection is performed more efficiently in your ServiceNow Instance.

Here is the recording if you missed the Live Session:

Useful Links:

ServiceNow Docs:
Collect Historical Data
Create or schedule a Data Collection Job
Configure a Job Indicator
Cancel a Data Collection Job
Add or edit Indicator scores manually
View a Data Collection Job Event
View the Data Collection Job Logs
Data Collection Process & Logging
View Data Collection Usage

ServiceNow Community:
Office Hours - De-Scripting Performance Analytics
Office Hours - Querying Multiple Tables
Office Hours - Data Collection Architecture

ServiceNow Now Learning:
Performance Analytics (PA) Fundamentals
Performance Analytics (PA) Advanced
Performance Analytics (PA) Application Specialist
Performance Analytics Micro-Certification Assessment

ServiceNow K20 Courses:
K20 Performance Analytics Course

The presentation is attached for your reference.  See you at a future Performance Analytics Academy session. We run the sessions every other Wednesday at 9 am Pacific, Noon Eastern, 6 pm Central European time.