Table of Contents
Navigation
- Navigate to Insights and select Worldly Axion.
- This takes you to the Worldly Axion Overview page.
Requirements
The best way to get started with Worldly Axion is to ensure your facilities submit their FEM assessments in a timely manner. Read the Facility Environmental Module (FEM) Getting Started Guide to learn more.
Axion uses 2023 to 2024 FEM Data, which can either be your own assessment or an assessment that has been shared with you.
We also recommend using the Worldly Collaboration Suite, which helps brands and retailers drive higher Higg FEM participation across the supply chain.
Overview
The overview page takes you through a high-level overview of what’s possible in Worldly Axion. Select the arrows to navigate through the carousel of Axion features and use cases, or select Explore Axion to dive right in.
Filters
The left-hand filter column automatically updates all metrics throughout the dashboard to reflect the filtered data set. Filters that are applied once are applied to all tabs within Worldly Axion. The dashboard filters enable users to organize and slice the data to quickly determine which facilities are best suited for intervention.
Adjust these filters to model different future states by country, facility type, production process and year. This enables more specific scenarios by facility, region or other combination of facilities based on filters. Further detail on how these metrics are defined can be found in the Methodology.
| Filter | Definition | Notes |
|---|---|---|
| Number of Facilities | The total number of facilities included in this dashboard. This number may update depending on the filters applied. | |
| Outliers Excluded | Select the “i” icon to learn more about the outliers detected. | |
| Production Allocation |
100% of production is allocated to your account if not defined or if turned off. Currently only share recipients can define their own FEM allocations, not facilities themselves. It may take an hour for new allocations to show up here in Insights Hub. The color-coded widget corresponds with the percentage of facilities with production volume allocation defined.
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| Locations | Select the applicable regions. | |
| Facility Attributes |
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| Data | Select whether verified and/or unverified data is included. |
| Filter | Definition | Notes |
|---|---|---|
| Tags | Select the applicable tags. | |
| Cadences | Select the applicable cadences. | |
| Accounts | Select the applicable accounts. | |
| Production Volume - kg | Select the production volume in kilograms. |
In addition to the production volume "bands" (1k-150k, etc.), there are options for 0 and 1-1k. Select these options to easily view and/or exclude outliers with very low or very high production volume in kilograms. Additionally, Allocated Production %, Production Volume (kg), and Production Volume (Pc-Pr) are inherently connected to the facility type. When they are selected, whole facilities will not be shown in the dashboard, but rather only those facility-facility type pairs that meet the criteria. |
| Production Volume - pc/pair | Select the production volume in pieces or pairs. |
In addition to the production volume "bands" (1k-150k, etc.), there are options for 0 and 1-1k. Select these options to easily view and/or exclude outliers with very low or very high production volume in pieces or pairs. Additionally, Allocated Production %, Production Volume (kg), and Production Volume (Pc-Pr) are inherently connected to the facility type. When they are selected, whole facilities will not be shown in the dashboard, but rather only those facility-facility type pairs that meet the criteria. |
| Allocated Production % | Select the allocated production percentage. | Allocated Production %, Production Volume (kg), and Production Volume (Pc-Pr) are inherently connected to the facility type. When they are selected, whole facilities will not be shown in the dashboard, but rather only those facility-facility type pairs that meet the criteria. |
| Date | Select the applicable year the dashboard should use. |
KPIs
The KPI dashboard provides a quick summary of Key Performance Indicators (KPIs) associated with a Risk Area.
There are 5 risk areas in the KPI Dashboard, including carbon, energy, water, heat stress, and extreme events:
- Axion: Carbon KPIs
- Axion: Energy KPIs
- Axion: Water KPIs
- Axion: Heat Stress KPIs
- Axion: Extreme Events KPIs
Read more about each Risk Area’s corresponding KPIs, how to read the color-coded KPI cards, and how to use the filters to sort through the dashboard metrics.
Hotspots
The Hotspot charts help you identify patterns in each Risk Area. With these patterns, you can prioritize where to take action and strategize what actions to take.
Scroll down the page to view the various graphs, charts, and tables that are available. Each visualization relates to the 5 Risk Areas available in the dashboard, including carbon, energy, water, heat stress, and extreme events:
Browse through the charts to identify hotspots by regions, facilities, and more.
Facilities
This section provides a summary overview of your facilities, covering all risk categories provided on the platform with a Very Low to Very High rating as well as the most recent FEM Assessment.
Clicking on each column heading allows you to filter by one, or multiple sub categories. Each table row can be opened into a detailed pop out, providing in-depth data and insights for that specific facility.
Click here to learn more about Axion’s Facilities page.
Scenarios
The Scenario planning tool allows you to model how different interventions can affect emissions and energy trajectory and transition risk.
Use the filters on the left-hand side to focus the scenario on specific regions, groups or even facilities.
Apply the projection assumption toggles in the middle column to see how Emissions and Energy Metrics, as well as Transition Risk Scenario Metrics are impacted.
Click here to learn more about how the scenarios page helps organizations forecast detailed possible scenarios in the future. Understand uncertainty, test potential business strategies, and develop flexibility around risks and opportunities.