Analyzing Times and Distributions

After completing this lesson, you will be able to:

After completing this lesson, you will be able to:

  • Analyze process flows and identify problems with your process

Analyzing Times & Distributions

The time orientated widgets display developments in your process over time. For example, you can view cycle time over days and weeks, the amount of cases during a certain duration, the volume of help requests, and more!

Over Time Widget

Common queries: 

  • In which month did we have the highest number of orders?
  • In which region did we have the highest amount of orders?

See below a video that's showing orders per month with the Over Time widget.

Over Time Widget

Knowledge Check

Over Time Widget: Case Study

Now that we've looked at the Over Time widget, we can now focus on the distribution of variables over time.

Distribution Widget

Dealing with time - distribution of duration attributes allows you to see how much time cases take to complete. You can select the data aggregation source (cycle time or duration) as well as the grouping criteria.

Possible questions for this particular data set:

  • What is the average cycle time for all cases depending on the product type?
  • What are the average sales per location?        

Continue below to see a video on how to measure the process cycle time that's grouped by product type.

Findings for the Case Study:

Average Cycle Time - Using the Distribution widget we found that the average cycle time for all of our cases is 15 days and 2 hours.

Printing vs non-printing - We can see that the process for printed shirts takes on average 16 days and13 hours and for non-printed 14 days and 3 hours.

Premium orders vs standard orders - Premium orders are finished on average after 9 days and 19 hours and standard orders are finished after 18 days and 2 hours.

Wrap Up: What have we learned so far?

Over TimeWith this widget you can display developments of your variables over time, accumulated by day, week, month, and year.
  • With this widget you can create histograms based on time, so you can see how your data is distributed over time.

  • This does not just apply for time, you are also able to see the distribution of variables among different categories.

Now, that we've seen how to use time variables to better analyze our processes, we'll now look at Process Conformance widgets.

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