LibInsight @ FIU

The Datasets page will display a filterable and sortable list of all of the datasets you have access to. Each will include shortcuts for recording and/or analyzing data (depending upon your permissions).

The Calendaring dataset allows you to keep track of the number of librarian appointments, events, and room & equipment reservations at your library. If you subscribe to LibCal, you can connect your LibCal system to your LibInsight dataset to sync your aggregate event, appointment, space booking, and equipment booking (if it's part of your LibCal subscription) data automatically. The data is synchronized daily, giving you an updated look at your activity over time.

In this course, you'll learn to set up and manage a Calendaring Dataset. Calendaring Datasets can be used to store aggregate data about the number of events, space bookings, or appointment bookings you have. In order to configure the dataset, you'll set up a data sync with LibCal or configure the dataset for manually entered records. In addition to dataset configuration, this course covers recording data, analyzing data, and managing records. You'll also learn about comparing data from one dataset to another.

In this course, you'll learn to set up and use a Finance dataset. This dataset type allows you to record and analyze expenditure and revenue data. Once you have recorded data manually or via import, you will be able to analyze individual line items, view year-over-year differences, and annual trends.

The Finance dataset allows you to analyze your library's revenues and expenditures over time. This includes a visual breakdown of expenditure and revenue categories, with year-over-year differences and annual trends. You can even analyze individual line items to see changes over time.

The Gate Count dataset provides you with powerful reports to help you easily analyze the traffic at one or more locations. This includes hourly, daily, weekly, monthly, and yearly breakdowns of your gate counts, with breakdowns by day of the week, weekend vs. weekday, location, and month.

The Cross Dataset Analysis tool allows you to compare up to 4 variables from one or more datasets. This can provide some really useful insight for seeing trends across services or resources over time.