Need your help,
We need to get the prediction for each business unit and sub business unit. But the below query giving the overall business unit prediction. Please provide the working example to get each business unit and sub business unit wise split-up for next 3 month prediction.
index="akamai-bill" |stats sum(BU_Total) as "cost($)" by _time, BU, SBU | predict "cost($)" algorithm=LLT future_timespan=3 | sort + SBU +BU
using map command able to filter the results,
index="akamai-bill" |table BU, SBU| map search="search index="akamai-bill" SBU=$SBU$ |stats sum(BU_Total) as "cost" by _time, SBU | predict "cost" algorithm=LLT future_timespan=3 | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | eval SBU=if(SBU=$SBU$, $SBU$,$SBU$."1") | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | where SBU!=$SBU$ | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | eval SBU=$SBU$ "
using map command able to filter the results,
index="akamai-bill" |table BU, SBU| map search="search index="akamai-bill" SBU=$SBU$ |stats sum(BU_Total) as "cost" by _time, SBU | predict "cost" algorithm=LLT future_timespan=3 | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | eval SBU=if(SBU=$SBU$, $SBU$,$SBU$."1") | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | where SBU!=$SBU$ | table _time, SBU,lower95(prediction(cost)) ,prediction(cost),upper95(prediction(cost)) | eval SBU=$SBU$ "