Predictive Analytics is the application of advanced analytics techniques to predict the outcomes of future events. It can be applied in various industries, across multiple functions of the business, and in numerous use cases. All these applications are opportunities for business teams to be proactive and act in advance to capitalize on opportunities & avoid any undesirable events. In this blog, let's take a look at some of the use cases for predictive analytics.
COVID-19 has brought about a sudden change in our behavior and attitudes - global consumption patterns of the retail industry have seen a sharp decline and are not predicted to go back up in the foreseeable future. Apart from changing consumer behavior, consumer safety is also a big challenge for retailers as they open their stores once more. Here are some of the ways technology can be leveraged to make the transition to a post-covid world easier for retailers worldwide.
The infamous line “Customer is King’ is something that’s been drilled into the brains of anyone dealing with sales since time immemorial. It is obvious that the better the customer feels about the product, the better the sales. A delighted customer usually becomes an evangelist for the product and thus, an extended member of the sales team. To ensure a delightful customer experience, the product team should know the customer - his motivations, his pain points, his aspirations.
An Indian hill-state in the north of the subcontinent, famed for its scenic landscapes and pristine lakes, records the highest number of road accidents year after year. Here is the story of how the Indian State Govt decided to use a digital solution to combat this - and why road safety management needs to go digital worldwide.
Technology is changing the way data is collected, stored, managed, visualized, and utilized in the healthcare sector. This access to data & analytics has caused many notable changes in the way the healthcare sector operates by opening up new avenues for the accuracy of diagnosis, prevention of disease, tracking the effectiveness of treatment, and providing safe medications. Read on to learn more about how data analytics is transforming healthcare.
Retailers who want to thrive in the future must leverage the vast potential that retail analytics offers. They must make smarter and faster decisions based on meaningful insights from retail analytics to ensure increased revenue, higher profits, enhanced customer engagement, and superior customer experience. In this article, we look at how retail analytics can play a significant role in helping businesses to overcome these challenges.