Currently there is a huge level of interest and investment within Environmental Social Governance (ESG). This is a very new concept for most emerging businesses, who would initially analyse investments in a purely competitive manner, with much more focus on financial values than ethical boundaries.
Lately, awareness and understanding for our environment has skyrocketed, allowing us to visualise the health, sustenance and efficiency of the processes we handle and manage across our planet. Not only has this helped us gain a valuable insight towards the future that we are approaching, but there have been significant tangents towards business that will impact the way we work within society.
ESG has not only offered businesses more solutions towards our planet’s health, yet it has enabled us to offer benefits for the businesses we work with, encouraging a more beneficial transition towards environmental and social health, and improving the ethics of our businesses on a global scale. These advantages can help us facilitate top-line growth, improve employee productivity, develop customer trust and ethical perceptions of the business, lower volatility, and reduce the regulatory and legal interventions meanwhile allowing more financial growth and optimisation.
With this in mind, what new technologies and concepts can we consider to help us improve the integration of ESG practice within modern day developments?
One possibility for this could be geospatial data. Despite not solving all of ESG’s regulatory interests, geospatial data offers a way to make broad yet precise calculations on waste management, carbon emissions, safe working conditions and pollution, which just happen to be the most sought-after issues within ESG regulation . This is perhaps due to the data being so difficult to quantify and analyse. This becomes especially valuable if we can reference the data, quickly identify key issues, format branches of metadata, and enable problem solving with logic, to improve the conditions that we work in.
Ideally, this would be a great tool to help improve our ESG rating, meanwhile allowing a more in-depth approach to the 3D data that our business could use for other means. But how can we access this data?
If we can manage the data, share and quantify these problems, then there would be huge value present. Platforms such as e-Cassini are capable of storing detailed 3D data that can be used within these parameters, and could offer a unique and viable solution to many of the problems within ESG application. Perhaps this can help provide a much more affordable and simple acquisition of data for businesses and organisations to use collectively in order to improve their own management of environmental and social regulations.
Not only this, but we could use marketplaces to help distribute and generate value to the data we provide. There is an increasingly large collection of open data available that we can pin onto geospatial references, which could inhibit large scales of value if distributed to the right people. Part of e-Cassini’s values also resonate around this concept, with an increasing level of attention to a viable marketplace for 3D data, a competent platform that can handle large scales of 3D data while enabling complex calculation, and an ideology for shareability and cooperation that will help businesses and organisations collaborate effectively with their data, and provide more success for their field.
In conclusion, we need to start utilising tools that enable us to easily offer this data to parties that benefit from ESG application. e-Cassini may offer us just that, and create a suitable platform for data collection and shareability, while enabling a range of tools that can serve the ideals for ESG, which will help us create simple and affordable ways for businesses to buy into and benefit from ESG regulation.