Data is the sword of the 21st century, those who wield it well, the Samurai.
– Jonathan Rosenberg.
We owe our success in the field of waste management to our data driven approach. The approach has helped us in accurate decision-making, development of more agile strategies, and enabled a more comprehensive overview of the enterprise in real time due to the incorporation of key performance indicators (KPIs) and measurement programs with metrics.
The entire waste management activity is monitored through two sets of Key Performance Indicators – each monitoring the dry and wet components separately, through fourteen KPIs under the Operational KPIs Category. The types used here can be grouped under Process Performance Metrics, and Human Resource & Staffing. They evaluate the quantity and quality of the incoming waste stream, the factors that influence performance, the performance, and the outcomes.
As KPIs are affected by both Intervening and Confounding Variables, care is also taken to record and correlate them. The reason – whilst the first explains a cause or connection between other study variables – the next on the other hand is an extra variables which the researcher does not account for, and can disguise another variable’s effects and show a false correlation. A simple example is that of the re-sorting process which is totally independent of baling operations – but a breakdown of the concerned machinery will cause an apparent lowering of the sorting rate for the quantum re-sorted cannot be determined as only baled material can be conveniently weighed.
In a bid to reduce the carbon footprint generated by the activities, the CO2 Equivalent of Emissions is monitored in for both wet and dry waste handling.
