Hi,
We're currently updating our Time Tracking Object Model, and have to decide if we continue to re-scale any percentages that do not add up to 100%. Values for some individuals can often be as low as 10% and we don't want costs being over-inflated on projects and applications.
- Does any one else correct their data in this way?
- Do you use a threshold, say 80%+ which can be corrected?
- we currently have default assumption allocations that we apply to the unaccounted for balance on some individuals - but not everyone.
We as a rule do not normally build the model to allow for bad data and always aim to correct the raw data at source.
We have a report that tells us who is not totaling 100% and chase up individuals to confirm - but this can take a while to get a response, so this keeps the money flowing in the meantime - if we leave it to get stuck in the model it can be a considerable amount missing from the reporting.
I was just wondering how others deal with this issue?