mary8886 | 2020-07-10 14:55:58 UTC | #1
When accessing the Conversation detail job API, is there a way to return data from the beginning of time (ie when our company implemented PureCloud). The hope is to be able to return all data for reporting and potentially replicating the data to a physical data store (TBD).
I assume to accomplish this I would need to be able to set the Interval to the appropriate date. However, I'm unsure how far back our PureCloud data goes. Essentially, I'm looking for a way to determine the min conversationstartdate.
Thank you.
tim.smith | 2020-07-10 15:08:08 UTC | #2
Conversation detail queries require an interval, which you can set to a timeframe of your liking. Do note that the best practice is to keep paging to a reasonable amount, meaning you shouldn't be paging deeper than 100 pages; query performance degrades the deeper you get into paging and quicker queries are better for both the health of the analytics service and the speed of your application. You can limit the number of results returned by using a smaller interval and/or applying stricter filters on the results, like fetching results for a short interval and limiting to a single queue.
mary8886 | 2020-07-10 16:48:36 UTC | #3
Is there a way to determine the minimum conversation start date so that I can set the interval to that date? Our business requires a full set of data for at least 5-7 years. It sounds like the API won't be efficient for combing through this amount of data, which means we'll likely need to replicate the data to a physical store (internally). But, instead of guessing on the interval date, is there a way to determine the point in time that we first started recording data? Thank you.
tim.smith | 2020-07-14 17:36:56 UTC | #4
mary8886, post:3, topic:8254
Is there a way to determine the minimum conversation start date
There won't be any conversations older than when your org was created, so use the date of when your company first purchased a Genesys Cloud org as the earliest possible date.
system | 2020-08-14 17:37:01 UTC | #5
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