Reading Time: 7 minutes In this blog, we are going to see how we can Anticipate customer behavior with Market Basket analysis By using Association rules. Introduction to Market Basket analysis Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it Continue Reading
Reading Time: 3 minutes In today’s Big Data world, we process large amounts of data continuously and store the resulting data into data lake. This keeps changing the state of the data lake. But, sometimes we would like to access a historical version of our data. This requires versioning of data. Such kinds of data management simplifies our data pipeline by making it easy for professionals or organizations to Continue Reading
Reading Time: 4 minutes In this blog, we will be going to see how we can use machine learning and data science to detect or to predict potential Heart Diseases. Introduction Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmias) and heart defects you’re born with (congenital heart Continue Reading
Reading Time: 8 minutes In this blog, we will see some of the data science use cases in Retail industries and how it is transforming the customer experience. We are all aware of the troves of data, retail businesses generate on a daily basis. However, this repository of critical data is worthless if it cannot be translated into valuable insights into the consumer’s minds or market trends. While all Continue Reading
Reading Time: 4 minutes Retail today is in the midst of an exciting revolution in which power has shifted from the retailer to the customer. Customers today have high expectations. They anticipate that companies will meet them where they are and when they want. They respond to experiences that are timely, targeted, and tailored to their specific needs—and reject those that aren’t. But, what’s the best way for businesses to differentiate themselves today?