SMART ENERGY a traditional CapEx model to an Azure service like the HPE GreenLake model , which can achieve more than a 30 % reduction in energy costs .
Ensuring customer satisfaction With increasing pressure on the energy industry to put customers first and to respond to fluctuating demand , company services must be vigilant in ensuring that consumers don ’ t seek out other providers who have adapted faster .
This , coupled with the fact that environmentally aware customers are increasingly on the lookout for sustainable and energy-efficient services , means that organisations must be flexible in meeting new demands .
As explained by Boixeda : “ Understanding customer experience in detail is crucial , as is maximising customer satisfaction . It is here that utilising advanced data analytics – and 360 ° profiling of customers 360 ° – can allow companies to have a better understanding of their customers , thereby increasing lifetime value and reducing churn .
“ This includes solutions such as automated voice analytics in call centres , the integration of these analytics with communications systems like mobile applications or the corporate website , as well as automatic consumption analysis and energy price .”
Boixeda believes that data analytics can help energy companies better assess customer creditworthiness and consumption variation , which can minimise defaults and prevent fraud . Research shows the impact of the use of different analytical techniques in this field increases the profitability of these companies by 5 % to 10 %, at the same time increasing the brand value via customer satisfaction .
It becomes clear to see that the correct implementation and facilitation of data management has a direct impact on the entire value chain of any energy business . While traditional energy suppliers are often limited by complex legacy IT infrastructure that inhibits agility and innovation , valuable lessons can sometimes be taken from smaller suppliers , who are able to take on the bigger players by leveraging advanced analytics .
Advanced data analytics can help energy companies lower production costs , increase distribution and transmission efficiency , and , most importantly , improve customer loyalty . energydigital . com 71