| | October 20178CIOReviewPredictive Analytics versus Prescriptive Analytics By Sanjay Dhakar, Vice President- Engineering, JugnooJugnoo is an auto-rickshaw aggregator providing Logistics as a Service for A2B transport and value added deliveries - doorstep food, fruits, vegetables and groceries. These on-demand transportation and logistics services are providing to both end consumers and businesses. Headquartered in Chandigarh, Jugnoo is currently operational in 30+ cities across India. IN MY OPINIONrescriptive analytics has already being practiced in startup these days. Companies have started to follow data driven approach. Most of the operational and marketing decisions are based on data analysis in startup. It helps them make decision fast and move faster. There are multiple use cases in day to day operations which are aided by predictive analysis- Which marketing campaign will perform better for user acquisition based on historic campaign results? Which incentive structure will suit best to increase supply in operations? What will be supply and demand trends over the weekend? Prediction about dynamic pricing based on demand and supply ratio etc. However it will take some time for prescriptive analytics to become a part of standard process in enterprise businesses. In next 1-2 years we can expect its complete adoption.In terms for data analytics requirements, business needs both BI along with Predictive analytics. It actually depends upon use case whether it's better to just add predictive analytics in current setup or rethink the whole infrastructure keeping predictive analytics in mind. In our case, we started with BI dashboard first and kept on adding predictive data to our BI dashboard as and when required and we now have a complete BI tools to aid various teams PSanjay Dhakar
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