Viewing the Overview Dashboard

Centricity’s Overview dashboard is composed of several elements:

  1. Top navigation — The various elements of this section are outlined in the Viewing dashboards documentation page.

  2. Dashboard filtersCentricity filters allow users to limit the data displayed on the dashboard. See the Temporarily changing filter values and cross-filtering dashboards documentation page for details on using filters.

  3. Information panel — Briefly outlines tips for adding new filters and adding additional filter values to existing filters.

  4. Category Overview

    The Category Overview section displays the highest Pulse nodes at various levels of the Centricity Taxonomy. In the example above, the dashboard is filtered to the Men’s Apparel Category, so the Category Overview section displays the highest Pulse for Subcategories, Subsets, and Facets within Men’s Apparel during the selected date range.

  5. Time Series Pulse Data

    The Time Series Pulse Data section displays daily Pulse totals based on the dashboard filters in use. This section helps you track how consumer demand changes over time. This example displays Pulse data for Men’s Apparel during the selected two-week period of February. If you applied dashboard filters for the Men’s Bottoms Subcategory and the Black Color Facet, the Time Series tile would refresh to reflect those more granular changes.

  6. Pulse Heatmaps

    Centricity’s heatmaps display geolocated Pulse data. This section features two different heatmaps:

    1. Pulse by US County — Data expressed as raw Pulse scores measured during the selected time period, aggregated to the County level.

    2. Pulse per Capita by US County — Data expressed as Pulse score per capita measured during the selected time period, aggregated to the County level. Note that this heatmap has filtered out counties with fewer than 10,000 residents. In counties with very low populations, fluctuations in web traffic can cause disproportionate and misleading spikes in Pulse per Capita — our population filters nullify the effects of this issue.

      Use the + and - buttons within a heatmap tile to zoom in and out. You can also click on any county to filter the entire dashboard by that county. See the Temporarily changing filter values and cross-filtering dashboards documentation page for more details on filtering dashboards.

  7. Pulse Data Tables


This table displays Pulse data for Subset-Facet pairs, aggregated at the State level. For example, Row 2 in the screenshot above reads as: “In the first two weeks of February, Men’s Sweatshirts with a Black Panther theme saw a Total Pulse of 73,099 in the state of California, which was an increase of 159% from the preceding two-week period; and, when the Total Pulse is adjusted for California’s population, this Subset-Facet pair saw a Pulse per Capita of 1.88.”

There are seven columns included in this table:

  1. State — The US State to which the row’s Subset-Facet pair is aggregated.

  2. Subcategory — The parent Subcategory to the row’s Subset-Facet pair.

  3. Subset — The Subset to which the row’s Facet is paired. The same Subset may appear in multiple rows of this table, reflecting a different State of aggregation and/or a different Facet pairing.

  4. Facet — The Facet to which the row’s Subset is paired. The same Facet may appear in multiple rows of this table, reflecting a different State of aggregation and/or a different Subset pairing.

  5. Total Pulse — Displays the Total Pulse score measured (for the Subset-Facet pair in a given State) during the selected time period.

  6. Pulse Shift % — Displays the change in Pulse (for the Subset-Facet pair in a given State) from the preceding time period to the selected time period, expressed as a percentage.

  7. Pulse per Capita — Displays the Pulse Per Capita of a Subset-Facet pair in a given State during the selected time period.

Users can click on any column header to sort the data by that column in ascending or descending order. For example, clicking on Pulse Per Capita will sort the table by that column in descending order:



 

 

More questions about Centricity? Check out our website or talk to our Support Team.