Ability to configure calculations based on OCS data and store the values back into OCS as new Streams.

As a data scientist, I need to be able to create calculations from data using Python SO THAT I can create analytics using the language I'm familiar with and write the outputs of these analytics back to the data store.

As a data scientist, I need to be able to create calculations from data using R SO THAT I can create analytics using the language I'm familiar with and write the outputs of these analytics back to the data store.

Ability to perform hourly, daily, weekly monthly, quarterly aggregation summary calculations on data.

Often useful for utility consumption KPIs / metrics.

Ability to aggregate the status of measurement condition evaluation groups below an Asset into a single Asset Status.

Ability to aggregate the status of multiple Assets into higher level organizations such as 'Factory'/Building, Site, Customer, etc.

The ability to say wait until I have all the data for my calculation inputs for situations where the data comes in more slowly.

I need more flexibility in the scheduling of calcs.

We would like to do roll ups for categories, and analyze them on a schedule. We are bringing data into OCS from multiple sources, and would like to run the analysis in OCS once all the data we need is in one place.

An example, I'd like to know how many assets meet a certain condition.

We can kind of do this in PI Vision, but we want hard metrics that track over time.

Ability to define high and/or low limits for a measurement (warning, alarm, etc.) and evaluate whether a measurement is in our out of range.

Be able to create asset hours running calculations.