Table of Contents:
When you click on a KPI card, benchmarking appears in two main places, the year-over-year line graph and the box plot.
Year-over-year line graph
The dotted line in the year-over-year line graph represents the benchmarking dataset.
Hovering over the line graph shows further detail on how your performance compares with the industry benchmark.
Box Plot
The grey box plot represents the benchmarking dataset.
Hovering over each box plot shows further detail on how your performance compares with the industry benchmark.
How does it work?
Benchmarking applies to all FEM assessments in ASC (Self Assessment Completed) or VRF (Verification Finalized). Insights Hub benchmarking compares your performance against all self-posted FEMs, even if they have not been shared with you. These include anonymized submissions from your industry that preserve confidential data from any individual company.
Due to the volume of self-posted FEMs, benchmarking becomes a more valuable insight as filters are applied. Insights Hub data visualizations are not automatically filtered so that organizations can fully customize the data set to meet their business needs.
Benchmarking and Filters
There are two types of filters within Insights Hub. Filters can be applied to benchmarks as long as the benchmarking dataset filters are applied.
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Benchmarking dataset filters: Verification, Country, Industry Sector, Facility Type, Accounts, Number of Employees
Where are these filters?
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User-specific filters not applicable to the benchmarking dataset: Tags, cadences, data ownership
- Not every user will leverage the tag, cadence, and data ownership filters in the same way, therefore they are not applicable to the benchmarking dataset
Where are these filters?
- Not every user will leverage the tag, cadence, and data ownership filters in the same way, therefore they are not applicable to the benchmarking dataset
Benchmarking Example
The data is filtered to just show FEM results from China, in the Apparel industry sector, that have been verified. As mentioned in the quick start guide, the three vertical bars symbolize benchmarking and show the % difference from the benchmark.
Clicking in to the KPI card reveals updated data visualizations according to the applied filters. Notice how the graphs change depending on the filters.
Why is the dashboard blank?
Furthermore, benchmarking data is hidden if the selected filter(s) produce fewer than 25 accounts in the benchmarking data. For example, all data visualizations on the dashboard below are unavailable if the data is filtered to only show Material Production facilities in Sri Lanka.
What's wrong with my box plot?
For some KPI cards, the box plot visualization may only show a "T" shape and look differently than the box plot example above. This happens due to a significant difference between your data and the industry benchmark data.
For example, the data visualization below only shows "T" shapes and nothing else. This is due to the right max value (433.4 max) being five times larger than the left max value (79.52 max). In this case, hover over the box plots to see what the datapoints are in closer detail.
You can enhance the visibility of the box plot by filtering the dataset. In the example below, applying the country filter narrows the dataset to produce a more clear data visualization.