Dashboard Overview – SpatialKey Support

Shared Dashboard Experience Across SpatialKey Applications

All SpatialKey applications are built on a shared mapping dashboard framework, ensuring a consistent and familiar experience across the platform.

Analyst is SpatialKey’s flagship application and is not tied to a specific workflow. It offers the full set of core dashboard features and serves as the baseline experience for working with spatial data, performing analysis, and exploring results through maps, charts, and tables.

Key Difference: Setup Screens

The Event Response, Underwriting, and Accumulations applications share these same core dashboard capabilities.

However, they have been extended with workflow-specific Setup Screens that guide users through application-specific inputs and configuration. These workflow‑specific differences were designed to accelerate the most common and time‑consuming analyses our users perform, automating much of the manual work and enabling faster, more consistent results.

The results are presented in a dashboard where most mapping features and interactions align with Analyst.

Illustration comparing workflows across applications. On the left, two users follow a guided workflow labeled “Setup” → “Summary” (shown as a report with a donut chart) → “Map,” under the heading “Underwriting, Event Response & Accumulations.” On the right, an “Analyst” works directly in a single “Map” view on a laptop. The graphic highlights different workflows with a consistent map experience. — Different paths, same powerful map. Underwriting, Event Response, and Accumulations guide users through setup before landing on a Summary Report with easy access to the Map, while Analysts jump straight into the map experience.

Key Difference: Summary Report

Image of the SpatialKey Event Response application showing the Summary Report view selected. The page displays an event analysis for “Michael – Oct 06, 2018 to Oct 12, 2018,” including a map of the southeastern United States with storm footprints and impacted locations. To the right of the map are summary tables listing wind severity levels, number of locations, and total insured value. The “Summary Report” tab is highlighted at the top, with a “Map” tab available next to it. — *Event Response Summary Report Example*

Another difference in these 3 apps is the inclusion of a Summary Report. After completing the workflow setup, users are first presented with this summary view, which provides a high-level overview of the analysis results. From there, users can seamlessly jump into the Map tab, which closely mirrors the Analyst dashboard experience.

The Summary Report is designed to give quick insight and context before diving into deeper, map-based exploration, allowing users to understand overall impacts, exposure, or results at a glance.

Application-Specific Enhancements

While the dashboard mapping experience is largely consistent across applications, there are a small number of exceptions where features have been built specifically to support a particular workflow. For example, Underwriting includes an Ad Hoc Lookup capability tailored to underwriting use cases. The Event Response application has a Dashboard Template feature that (for now) is specific to that application. Both Underwriting and Event Response also have Hazard layers associated with their analysis that are visible in the map views.

Outside of these targeted enhancements, users can expect a highly consistent experience once they are working within the mapping dashboard—making it easy to move between applications and leverage the same tools, interactions, and visualizations regardless of workflow.

Shared Mapping Features

Let’s now take a look at some of those base mapping features you should expect across all applications. Open Analyst from the Apps tab, select a dataset and voilà, you’ve got a dashboard.

There are lots of ways to slice, dice and investigate your data. Let’s dig deeper into dashboard functionality:

Layers: Control display of datasets, opacity, and click to view advanced visualization options.
Map Layer: Control the base map and types like hybrid, street or black & white views.
Legend: Interpret how each layer is visualized.
Statistics Pod: By default, you’ll see the location count and sum TIV in the stats pod. Click the Charts icon in the right panel to add additional stats to your dashboard.
Filters: Applied filters will display as chips or checkboxes.
Locations: A list of all records in your data will display here along with the ability to filter at the top of each column.
Policies: If you have a policy file joined to your locations data, a list of all policies will show here along with the ability to filter at the top of each column.
Unique Values: Create a list of unique values to aggregate and filter your data by values like TIV or count of records.
Map Tools: Measure distance, elevation and use drawing tools to filter your data.

Image of the SpatialKey Analyst dashboard illustrating how to build and explore a map‑based analytics view after selecting a dataset.
1 – Layers: Controls for turning datasets on and off, adjusting opacity, and accessing advanced visualization options for each layer.
2 – Map Layer: Settings for changing the base map type, such as hybrid, street, or black‑and‑white views.
3 – Legend: A legend explaining how active layers are symbolized on the map, including color ranges and value breaks.
4 – Statistics Pod: A summary panel showing default statistics such as location count and total insured value, with options to add additional charts.
5 – Filters: Active filters displayed as chips or checkboxes that refine the data shown on the map and in tables.
6 – Locations: A table listing all location records in the dataset, with column‑level filtering options.
7 – Policies: A table showing all policy records when a policy file is joined to the locations data, with filter controls at the top of each column.
8 – Unique Values: A panel for creating lists of unique values to aggregate and filter data by metrics such as record count or total insured value.
9 – Map Tools: Tools for measuring distance and elevation, drawing on the map, and filtering data spatially.
A: The hamburger menu used to create new dashboards, save or save as, and close dashboards.
B: Controls to expand or collapse filters and charts, with a draggable divider to resize the right panel.
C: Standard map interactions, including dragging to pan and using the mouse wheel or plus and minus buttons to zoom.

TIPs!

A. Use the hamburger menu to access functions like create new or close a dashboard.
B. Click the Filter or Chart icons to expand or collapse the view. Drag the blue vertical bar to resize the right panel and get a better view.
C. Use your mouse to drag & pan the map. Use your mouse wheel or the “+“ & “-” buttons to zoom.

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