SUPPLY CHAIN
How data analytics improves cities across the world Although the city of Istanbul has seemingly found a solution to combating the impact of air pollution , other cities around the world have not – and it ’ s a pressing matter that plagues many areas of the globe .
Mann calls for municipal , local and state governments from countries with major metropolitan areas to employ better data analytics to track traffic . By doing so , counties will not only be able to decrease emissions , but enhance citizen safety , too .
For the IMM strategy to be replicated , governments first need to determine and understand the data they already have . From here , they can assess how it is being analysed , while also asking whether it is being used to forecast traffic , emissions and other key factors .
“ An initial step is to work with technology firms and consultants to implement a pilot programme . Start small and scale up ” Mann explains . “ Using an initial pilot programme to apply IoT analytics is an approach used across industries .
“ In manufacturing , for example , Austriabased Wienerberger Group – the world ’ s largest brickmaker – was searching for ways to reduce energy consumption while lowering greenhouse emissions and improving product quality . Wienerberger turned to AI and IoT analytics from SAS , running SAS Viya on Microsoft Azure Cloud , to help optimise energy costs and achieve its ambitious sustainability goals . By 2023 , the company aims to reduce emissions by 15 % compared to 2020 and be completely climate-neutral by 2050 .”
What ’ s more , SAS ’ s analytics has helped other countries around the
“ IMM ’ s team of city planners and engineers have built models of traffic patterns in Istanbul that help them better understand , predict , forecast and manage traffic flow in real-time ”
JASON MANN VICE PRESIDENT OF IOT , SAS sustainabilitymag . com 119