Developing Machine Learning Models for Dynamic Pricing
Developing Machine Learning Models for Dynamic Pricing We previously talked about price optimization and dynamic pricing. Today, we are going to look at using developing machine learning (Ml) in dynamic pricing models. With artificial intelligence (AI) technology now going mainstream, dynamic pricing is something that even small retailers and e-commerce players can now use to… Continue reading Developing Machine Learning Models for Dynamic Pricing
Retailers: Better Market Basket Analysis will Keep You ahead of Competition
“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com It is but only now that medium and small retailers have started to realize why Amazon and other e-commerce companies have stolen a march over them. Technology gave the latter an edge over… Continue reading Retailers: Better Market Basket Analysis will Keep You ahead of Competition
Why are Granular Customer Data Important for Banks
Without a doubt, data analytics is altering the traditional banking system. In fact, it would not be an exaggeration to say the time has come to re-assess the concept of a bank, as we know it. But that is not the subject of this post. Instead, we are going to look at data analytics in… Continue reading Why are Granular Customer Data Important for Banks
Trends in Retail: The Move from Predictive to Prescriptive Analytics
Why is Retail Moving from Predictive to Prescriptive Analytics? A larger trend seen in the retail sector in 2018 is the move by many retailers to move away from predictive analytics and adopt prescriptive analytics. Predictive analytics, for many, is now a case of ābeen there, done that.ā Using insights gleaned from data analytics, many… Continue reading Trends in Retail: The Move from Predictive to Prescriptive Analytics
How Predictive Analytics is Reshaping the Insurance Industry
How Predictive Analytics is Reshaping the Insurance Industry Predictive Analytics is increasingly becoming the āweapon of choiceā of insurance firms and industries. The reasons are many, ease-of-use is one, and the other is because of advances in Artificial Intelligence (AI) and Machine Learning (ML), deployment is easier and faster. Data analytics overall has started to… Continue reading How Predictive Analytics is Reshaping the Insurance Industry
Healthcare Analytics: Build-Versus-Buy Quandary A Hurdle
The most obvious thing for any Health Care Organization to do is to develop in-house infrastructure to manage its healthcare data. Thatās simpler said than done, though. Setting up an Enterprise-grade data warehouse not only involves additional hires, thereās some amount of capital expenditure as well as operational costs involved.