Data-driven organizations that embrace Digital Transformation possess immense potential for innovation and enhanced efficiency. However, it is also crucial to leverage that potential for the good of the planet and turn your sustainability ambitions into measurable and tangible results.
Feel free to share your ideas, thoughts, and insights regarding practical applications, best practices, and examples of how data can be harnessed to reduce environmental footprints. Remember, even the tiniest actions can yield a huge impact.
Let's help our precious planet by inspiring each other!
Organizations can implement data-driven solutions for e-waste management that allow tracking and analysis of equipment lifecycle, upgrades, and repair data.
With this data, they can promote better repairability, upgradability, and recycling practices, as well as, identify potential environmental factors (amongst others) for a lower mean time between failure of certain devices when compared with others of the same type.
Having this data could also help in future purchasing decisions along with "putting pressure" on vendors to adopt better environmental practices and not continue the trend of "planned obsolescence".
Also, this data can be leveraged to perform predictive and preventative maintenance by using features such as DataMiner's monitoring and analytics to predict equipment anomalies and failures based on equipment performance and repair/replacement history.
As an example, Framework https://frame.work/ is a company whose business model is to sell modular laptops that can be configured, upgraded, and repaired by the end user.