Question Answer

What is the high-level purpose of the Faethm Dashboard? How can these insights be applied?

Faethm’s charts are designed to show the impact of specific emerging technologies on workforces. The Dashboard summarises these insights and presents a broad, high level view of impact across the workforce. Insights can be further analysed by applying filters along the top of the dashboard including: time horizon (1-15 years), AI / Robotic technologies, org unit, gender, age group, and more.

How do I interpret the dashboard?

The Faethm dashboard is made up of six tiles that summarise the key technology, jobs and people impact insights modelled for your workforce. These are organised into two core sections: Key Insights and Jobs Impact. Each dashboard tile within these sections summarises a related chart. You can explore the insights and charts by clicking on the tiles.

What do the Key Insights tiles represent?

The Key Insights tiles show the technology driving impact and strategic cost considerations for your workforce.

  • The first tile, ‘Key Technology’, represents the potential salary cost savings through the automation of jobs over time. It also highlights which technology is most likely to automate your workforce, and what percent this leading automating technology represents.
  • The second tile, ‘Key Organisational Unit’, shows the organisation unit that could experience both the greatest impact and opportunity from automating technologies.

  • The third tile, ‘Key Workers’, represents the total number of gender specified FTE (equivalents) that could be impacted by automating technologies.

What do the Jobs Impact tiles represent?

The Jobs Impact tiles provide a view of the three core ways in which Faethm assesses the impact of emerging technologies on workforces: automation, augmentation and addition.

  • The first tile, ‘Automation’, represents the impact from automating technologies and the correlated number of aggregated FTEs and % of the workforce.
  • The second tile, ‘Augmentation’ represents the additional capacity gain available derived from augmenting technologies. This capacity gain is available to partially supplement tasks, meaning a worker can gain capacity to do other work.
  • The third tile, ‘Addition’, describes the additional new jobs that may be required to enable the organisation to implement, govern, run and maintain emerging technologies.
How is salary cost reduction calculated?

Salary cost reduction represents the total cost savings (across the org or org unit, depending upon filters applied) associated with role automation. It is calculated by multiplying 1) the salary of each FTE in an org unit by 2) the automation risk rating of that role (e.g. X%). This amount is then summed for all roles in an org or org unit. In other words: sum of (FTE x salary (compensation) x automation risk rating)

What are custom filters? 

Custom filters show your workforce information using additional information provided in your organisation’s data upload. Examples of other filters some clients have applied include: union affiliation, Indigenous identity, and employees with a disability, and metropolitan vs regional.

If your dataset includes custom filters, you can access these by clicking the ‘More’ filter along the top of the dashboard.