Productivity mining allows you to find, validate and prioritize opportunities for process efficiency to help your enterprise become greener. In this post we discuss several examples:
- How sustainability efforts can be boosted by identifying and removing friction caused by software applications and hardware
- Employees are used to “Always on” policies leading to unnecessary energy consumption in the IT infrastructure – message them to turn off their machines – or automate shutdowns
Home office work has a knock-on effect on network usage – take targeted action to remove friction to help employees deliver work with ease to reduce resource and energy consumption
Data-driven sustainability
It is a given that we should reduce waste of any kind, be it at home, for example, with too much food that goes off in the fridge, or at work when due to inefficiency and errors we expend unnecessary energy and effort.
KYP.ai productivity mining insights frequently highlight friction and waste in users’ enterprises. The insights drive action on efficiency to improve the top- and the bottom-line of business. Today, there is an additional driver for corporate success and value generation, and that is sustainability. There is even talk of the green line* – a measure of an enterprises efforts to reduce its carbon footprint. Can productivity mining be the lever to pull to become world class in that category as well? We believe the answer is yes, because the technology provides actionable insights to help organizations make informed decisions on how to become greener and to contribute to the global sustainability efforts in a more impactful way.
Application effectiveness
Legacy systems that keep employees waiting for minutes before they respond to their requests are great consumers of energy, lowering employees’ efficiency by up to 30%. This is one of the main areas of friction that KYP.ai recently identified within its customers’ systems. Rather than working on the desired outcome, employees are distracted by non-responding applications, sometimes waiting for more than 10 minutes – according to our measurements taken in the last six months across five continents. The insights help organizations identify and address this type of problem with pin-point accuracy.
Slow legacy systems …. are great consumers of energy, and they lower employees’ efficiency by up to 30%.
Generation “Always on”
Over the years we have become accustomed to being constantly connected with laptops, PCs and mobile phones always left on. Even in sleep mode these devices consume energy and network bandwidth. KYP.ai measures the time and energy impact of PCs left in idle mode. This enables organizations to plan actions to address the problem. For example, messages are sent to employees to suggest that the machines should be turned off, or shutdown is automated.
Another related problem is outdated IT policies leading to needless energy consumption every day, e.g. asking employees to leave their PCs on after work so that they can be centrally updated and maintained. Yet, KYP.ai software often finds that employees PC’s are only used for half the time that they are at work, providing ample time for any IT work to be carried out. That said, the fact that the PCs are only used for part of the day but left on all the time also raises more questions about operational and process efficiency and corporate policies. These too are easily improved with Productivity Mining insights.
KYP.ai software often finds that employees PC’s are only used for half the time that they are at work, providing ample time for any IT work to be carried out.
The rise in home working
Away from the controlled environments of office buildings and their managed energy consumption, the impact of wasted effort and redundant IT capacity worsens with employees working from home and having to rely on their own arrangements for heating, lighting, and connectivity. There is also a knock on effect on bandwidth consumption with employees connecting to corporate systems from their homes. This has already pushed telecom providers to expand their network capacities and increased their demand for energy.
With KYP.ai any network efficiency impact can be measured, be it in the office or at home. Consequently, organizations can take targeted action to remove friction from the infrastructure, enabling employees to achieve their daily work objectives with more ease.
We have written many times about how productivity mining saves time and effort by removing friction from business processes, improves employee engagement and enhances customer experience. In this post we have shown that there is more to the technology; by sourcing performance data from user’s machines, and removing friction, organizations can drive sustainability in addition to business efficiency, be it in IT, business functions or in office or home working environments.
Powered by productivity mining, organizations can become greener and boost their contributions to the global effort for sustainability.
KYP.ai Communication 
Sarah Burnett 