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05-21-2023 02:53 AM - edited 05-21-2023 02:54 AM
Hi All,
Exploring Performance Analytics for the very first time and came across,
Indicator source and Data collector
As per ServiceNow
"Data collectors are scheduled jobs that collect data from indicator sources. Create data collectors after defining indicator sources, breakdown sources, and indicators or data collectors will not return any results."
And Data collectors have to be created at the end, post creating Indicator sources, Indicators, and Breakdowns. I am able to understand the interlinking between Indicator sources, Indicators, and Breakdowns.
Can anyone explain how is this data collector into the cycle and what is the use of that in simple terms?
Solved! Go to Solution.
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05-21-2023 07:12 AM
Hi,
One place to start to learning PA is here:
https://docs.servicenow.com/search?q=Performance%20Analytics
The PA feature counts records and allows summary review of those in various presentations. It can show trends in performance of various business aspects managed in Servicenow, along with related Statistics.
An Indicator Source definition specifies the table to query and conditions for the records to process during Data Collection. This is needed before defining an Indicator, and it defines how you want to present the collected data.
Breakdowns allow sub-division of the collected data, and a Breakdown Source defines a field value to use for that.
There are plenty of OOB examples that can help understanding of how the feature works. For example, how many incidents are being created on a daily basis. Is that number trending up or down? And of those, a breakdown on Priority may be interesting.
Search the developer site for tutorials, guides. And again, look at existing OOB Indicators and PA dashboards.
Finally, the Data Collection job runs periodically, based on the indicator frequency, to query the table records and collect "scores" for presentation.
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05-21-2023 01:48 PM
Hi @Gokul Nath ,
in short term, the PA job is linked to the indicator… and the indicators foundation is the indicator source. The use of the PA job is to create a scheduled data collection with defined interval to make snap shots of data.
hope above give some explanation.
If my answer has helped with your question, please mark my answer as accepted solution and give a thumb up.
Best regards
Anders
If my answer has helped with your question, please mark my answer as the accepted solution and give a thumbs up.
Best regards
Anders
Rising star 2024
MVP 2025
linkedIn: https://www.linkedin.com/in/andersskovbjerg/
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05-21-2023 07:12 AM
Hi,
One place to start to learning PA is here:
https://docs.servicenow.com/search?q=Performance%20Analytics
The PA feature counts records and allows summary review of those in various presentations. It can show trends in performance of various business aspects managed in Servicenow, along with related Statistics.
An Indicator Source definition specifies the table to query and conditions for the records to process during Data Collection. This is needed before defining an Indicator, and it defines how you want to present the collected data.
Breakdowns allow sub-division of the collected data, and a Breakdown Source defines a field value to use for that.
There are plenty of OOB examples that can help understanding of how the feature works. For example, how many incidents are being created on a daily basis. Is that number trending up or down? And of those, a breakdown on Priority may be interesting.
Search the developer site for tutorials, guides. And again, look at existing OOB Indicators and PA dashboards.
Finally, the Data Collection job runs periodically, based on the indicator frequency, to query the table records and collect "scores" for presentation.
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05-22-2023 03:04 AM
Hello @Bert_c1 thanks a lot for that! Will explore more for sure.
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05-21-2023 01:48 PM
Hi @Gokul Nath ,
in short term, the PA job is linked to the indicator… and the indicators foundation is the indicator source. The use of the PA job is to create a scheduled data collection with defined interval to make snap shots of data.
hope above give some explanation.
If my answer has helped with your question, please mark my answer as accepted solution and give a thumb up.
Best regards
Anders
If my answer has helped with your question, please mark my answer as the accepted solution and give a thumbs up.
Best regards
Anders
Rising star 2024
MVP 2025
linkedIn: https://www.linkedin.com/in/andersskovbjerg/
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05-22-2023 03:05 AM
Hello @AndersBGS , thanks for the crisp and clear explanation