Understanding Intuitive for PaperCut Datasets

In this guide we will explain the datasets that are used to support the Intuitive for PaperCut dashboard solution.  It is important that you read this guide before attempting to edit or create new components for the solution.

The Data Integrations feature provided by PaperCut outputs raw data from the database including a list of all print jobs on a daily basis.  The Intuitive for PaperCut solution aggregates this data over time to allow trend analysis over one or multiple years.  The aggregation is an important step as it reduces the amount of storage required and also allows faster processing on the dashboard interface which ultimately means great performance for the end users.

There are four distinct datasets that are used which we have listed down below:

• Aggregated Dataset
• List of Active Users
• Print Usage
• User Analysis

The Aggregated Dataset contains a 12 month (plus current month), rolling dataset of printing activity. The dataset shows origin of the printing by device and also breaks down usage by department. The aggregated dataset does not contain any document titles or user data.  The dataset is, however, linked to the users datasets to enable lookups e.g. Which users use a certain device.

The User Analysis dataset is used to identify the heaviest users of print and copy within an organization. Each month we keep a running total of pages printed and at the end of the month calculate the top 100 users.  The names of the users and their total for the month they were in the top 100 are recorded to the dataset.  The dataset also records the devices that are being exploited by these users and the type of activity.

The Print Usage dataset contains a record of all print, copy and scan jobs in the last 30 days.  Each job has details of the user that generated it, the activity type and if appropriate also the document title. This dataset enables you to audit any user on the system from the last 30 days 

The List of Active Users dataset also contains data from the last 30 days.  Unlike the print usage dataset, the columns reported are kept to a minimum.  This allows us to quickly calculate and display parameter such as:-

• How many users have been active in the last 30 days?
• What is the average cost of a user?

The below table lists the fields within each of the datasets, their original name within PaperCut and what dataset(s) they are a member of: