Sustainability is a concept that has become increasingly important over the last few decades, and is now used as an important term in ecological, social and economic
development. As scientific opinion has come to a consensus on the negative effect of greenhouse gas emissions on our climate, there has been a change in the thinking
of governments, corporations and communities. It has now become essential for sustainable practices to be integrated into planning for all aspects of development, as
there are costs to unsustainable business practices.
Business Intelligence for Managing Carbon Emissions
Diver’s “Sphere” technology filters the fiction and fortifies the facts regarding carbon emission reduction management initiatives and progress in a government, corporation and facility. This unique “Sphere” approach functions without the need for a database layer, thus saving time and resources associated with deploying a data warehouse or additional databases often required by other reporting and analytics tools. The analysis capabilities that the data Model provides leads to improved decision making that positively impacts an organization’s carbon reduction management performance.
Diver Carbon Emission Reduction Management Application
The Carbon Emission Reduction Management Application based on the Diver Solution™, provides you with a robust analytical tool that allows you to navigate freely to any point in your data eliminating data hierarchies and other navigational constraints. This application features dynamic and interactive Dash Boards and Key Performance Indicators (KPI) with “living” advanced analytics and data visualization as you click on the KPI of interest and move through multi-dimensions of data to absolute detail.
If you are interested in implementing a complete Business Intelligence application for Carbon Pollution Reduction Management, with dashboards and savings scenarios, get in touch with us for a demo.
To read about how Diver has helped solve some real-world data management, governance and analytics problems see Case Studies