Report types
Summarize
Summary of Report Types
ServiceNow offers a variety of report types to help you visualize and analyze your data effectively. These reports enable you to present data in ways that best tell your story, whether comparing values, showing trends over time, or highlighting key indicators. You can create, configure, and customize reports directly within the platform, including using Natural Language Query (NLQ) to generate reports by asking questions in plain language.
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Report Categories and Their Uses
- Bar Reports: Compare scores across data dimensions using vertical or horizontal bars, Pareto charts to identify key factors, or histograms to interpret numerical data distribution.
- Pie and Donut Reports: Visualize parts-to-whole relationships using pie charts, donut charts, or semi-donut charts for a segmented circular display.
- Time Series Reports: Track data changes over time with column, line, step line, area, or spline charts, including the use of MetricBase data for time series analysis.
- Multidimensional Reports: Analyze data across multiple dimensions with multilevel pivot tables, heatmaps using color matrices, and bubble charts to display multiple metrics simultaneously.
- Scores: Display single data points or indicator counts using speedometer (circular meter), dial (half-circle meter), or single score reports for key business metrics.
- Statistical Analysis Visualizations: Use control charts to monitor process stability, trend reports to observe value changes over time, and box or trendbox reports to highlight data distributions and averages.
- Other Reports: Includes funnel charts to show decreasing proportions, list reports resembling standard ServiceNow lists, calendar reports for event visualization, map reports for geographic data, pivot tables for data aggregation, and pyramid charts as a variation of bar reports.
Practical Application for ServiceNow Customers
Choosing the right report type depends on the specific story or insight you want to convey with your data. For example, use bar or pie charts for straightforward comparisons and proportions, time series reports for trend analysis, and statistical reports for quality control or distribution insights. Leveraging NLQ can speed up report creation by generating appropriate visualizations based on natural language questions.
By understanding these report types and their purposes, you can enhance your data analysis capabilities within ServiceNow, making it easier to monitor performance, identify trends, and communicate insights effectively to stakeholders.
Learn about the different types of reports that you can create, and when and how to create them.
- Bar reports enable you to compare scores across data dimensions.
- Pie and Donut reports visualize the relationship between the parts and the whole of a data set using a single round shape.
- Time Series reports visualize data over time. In addition to data from within your instances and imported data sources, you can also use MetricBase data in time series reports. For more information, see MetricBase application.
- Multidimensional reports visualize data across dimensions in a single table or graph.
- Scores visualize single data points either across ranges or as a single value.
- Statistical reports visualize data with statistical values such as medians and means.
- Other reports include calendars, maps, and lists.
You can also use Natural Language Query (NLQ) inside Report Designer to generate a report. Simply write a question into the NLQ field, and the Report Designer generates a report of an appropriate type.
| Report | Description | |
|---|---|---|
| Vertical and horizontal bar reports | Shows vertical or horizontal bars with lengths proportional to the values that they represent. | |
| Pareto reports | Combines bar and line reports to identify the most important factors in a large set of factors. | |
| Histogram reports | Provides visual interpretation of numerical data by indicating the number of data points that lie within a range of values. |
| Report | Description | |
|---|---|---|
| Pie charts | Shows how individual pieces of data relate to the whole using a circle to represent the whole. | |
| Donut reports | Shows how individual pieces of data relate to the whole using a donut shape to represent the whole. | |
| Semi-donut reports | Shows how individual pieces of data relate to the whole using a semi-donut shape to represent the whole. A semi-donut report uses a donut sliced in half to represent the whole. |
| Report | Description | |
|---|---|---|
| Column reports | Shows how one or more values change over time by displaying them as proportional vertical columns. | |
| Line reports | Shows how one or more values change over time by connecting a series of data points with straight lines. | |
| Step line reports | Shows how one or more values change over time by connecting a series of data points with horizontal and vertical lines. | |
| Area reports | Resembles a line chart, but the area between the axis and line is commonly emphasized with colors. | |
| Spline reports | Shows how one or more values change over time by connecting a series of data points with a fitted curve through the data points. Spline reports let you take a limited set of known data points and approximate intervening values. |
| Report | Description | |
|---|---|---|
| Multilevel pivot tables | Displays aggregate data broken down by multiple metrics in a single chart. | |
| Heatmap reports | Displays aggregate data in a matrix using colors to represent different values. | |
| Bubble reports | Displays multiple metrics on a single chart. |
| Report | Description | |
|---|---|---|
| Speedometer reports | Shows an overview of the count of an indicator at the current moment in the form of a round meter. | |
| Dial reports | Shows an overview of the count of an indicator that you want to measure in a half circle. The part in which scores are shown is filled with a color. | |
| Single score report | Displays a single aggregate value that is important to your business. |
| Report | Description | |
|---|---|---|
| Control reports | Displays data as a series of connected points to determine whether a business process is in a state of statistical control and to identify outliers. (Found in the Other reports section.) | |
| Trend reports | Shows how the value of one or more items changes over time. Values along the horizontal axis of the trend report represent the time measurement. Values on the vertical axis represent the changes to the items being monitored. The trend line or curve reveals a general pattern of change. (Found in the Other reports section.) | |
| Box reports | Shows the distribution of values in a data set highlighting statistical averages. (Found in the Other reports section.) | |
| Trendbox reports | Shows the distribution of values in a data set highlighting statistical averages for a specified periodof. (Found in the Other reports section.) |
| Report | Description | |
|---|---|---|
| Funnel reports | Displays values as progressively decreasing proportions. The size each section reflects a percentage of the total of all values. | |
| List reports | Displays data in the form of an expandable list, similar to a standard ServiceNow list component. | |
| Calendar reports | Displays data-driven events in a calendar format. | |
| Map reports | Displays data on a geographical map image. | |
| Pivot tables | Aggregates data from a table to display the source of summarized data. This functionality is expanded in multilevel pivot reports. | |
| Pyramid reports | Visualizes a variation on a bar report using pyramid sections instead of rectangles. (Found in the Other reports section.) |