From an operational intelligence standpoint, it is interesting to understand how many visitors we have to our online store and how many of these people actually purchase something. For example, if we have 1,000 people visiting a day but only 10 people actually purchase something, this might indicate something is not quite right. Perhaps, the prices of our products are too high, or the site might be difficult to use and thus need a redesign. This information can also be used to indicate peak purchasing times.
In this first recipe, we will leverage summary indexing to understand how many sessions we have per hour versus how many actual completed purchase transactions there have been. We will plot these over a line graph going back the last 24 hours.
To step through this recipe, you will need a running Splunk Enterprise server, with the sample data loaded from Chapter 1, Play Time – Getting Data In. You should...
