Analyzing Time-series Data

Some argue that time is a flat circle. Most analysts, however, can agree that working with time-series data is tough.

Processing large volumes of transactional records, building rolling period aggregations, and implementing fiscal calendars are tedious. Don’t even get me started on time-zone transformations.

Savant Time Series Rollups

The pain is near and dear to our hearts at Savant, which is why we built a tool to greatly simplify time-series operations.

Let’s say we had a data set that tracks how many llamas each Savant employee pets on a given day.

Now, we’re a bit competitive at Savant, so we want to be able to track who pet the most llamas every quarter, as well as who is improving in their llama petting on a rolling month-to-month basis.

The Savant time series tool easily takes our raw data and creates the roll-ups needed for these calculations.

See how it works in this short video:

With just a few more steps in Savant, I’m able to automate a competition tracker that updates our llama scores on a daily basis:

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