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Background: During the pre-stages before a cube build in the Analytics Portal, some core data queries produce incomplete information, which is later used to build a cube.
Issue: Sometimes, individual queries to a Saas server will fail or time-out, which results in storing incomplete data into the intermediate database (i.e. missing data for some machines). Also on rare occasions, a server may be temporarily unavailable which can cause an entire server to be skipped. This partial data is ‘staged’ for an upcoming cube build. Later, when the cube builds, it will build using this partial data. This partial data will then be visible to users in their Analytics dashboards.
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