Blog and White Papers
The key role of data integration in leveraging the power of machine intelligence
Today Artificial Intelligence (AI) is possibly the most widely discussed technology trend. There are strong views about the applications and benefits of AI, while some feel that it will bring in the apogalactic day of machine controlling human beings; a few others believe that AI will be extremely beneficial for humans.
Feature Engineering in IoT Age – How to deal with IoT data and create features for machine learning?
If you ask any experienced analytics or data science professional, what differentiates a good model from a bad model – chances are that you will hear a uniform answer.
Guide to Build Better Predictive Models using Segmentation
We use linear or logistic regression technique for developing accurate models for predicting an outcome of interest. Often, we create separate models for separate segments.
Beginner’s guide to Design of Experiments (with case study on banner advertisement)
When you visit a supermarket, you might feel overwhelmed with the discounts and free gifts that you get with your purchase. Have you ever imagined, what makes a company decide if you will be excited more by ‘discounts’ or ‘free gift’? How could they even know about you so closely?
Marketing Analytics: Essentials of Cross-Selling and Upselling (with a case study)
Cross selling and Upselling is one of the most widely discussed concept in marketing analytics. Every other day when you visit a supermarket, restaurant to purchase something, this concept comes into live action. This concept is being taught in every marketing class across the world, thereby students are expected to know of it.
Business Analytics: Applications To Consumer Marketing
Increased customer focus and the exponential increase in the volume, velocity, and variety of data and the unrelenting need to stay one step ahead of competition has sharpened focus on using analytics within organizations. With business pressing more on the need to enhance their analytics capability for predicting and optimizing outcomes, this book offers practical guidance on the application of analytics for driving business decisions by adopting a customer centric approach to marketing.