Anomaly Detection for Time Series Data: Part 2
In our previous post, Anomaly Detection for Time Series Data: Part 1, we looked into the importance of anomaly detection and...
Data Science
Anomaly Detection for Time Series Data: Part 1
Your biggest sale of the season is starting, your engineers have deployed big changes to support the traffic, and you’ve got...
A Gentle Introduction to Generative Adversarial Networks (GANs) with Marketing Applications
Have You Ever Found Yourself in the Following Situations? You have to list your products online but don’t know how to...
Maximising Your A/B Test Outcomes with Multi Armed Bandits
Traditional A/B testing has stuck around for decades and is an important tool in a marketer’s toolkit, but there also exist...
How to Analyse Marketing Surveys – Part 2
In our previous blog post, we analysed survey data using univariate analysis. We explored each survey question independently. This gave us...
How to Analyse Marketing Surveys – Part 1
Marketers are faced with a deluge of data to deal with in their daily routine. Quite often, marketers conduct surveys to...
Building a Smart Auto-Responder for FAQs
This article is co-authored with Lalitha Duru and Avneesh Sharma. Generally, humans need answers to their questions efficiently and accurately. For...
Is There a Golden Frequency Cap Number of Messages?
Effective messaging campaigns are an important part of a successful customer engagement and retention strategy. They include multiple elements such as...
The Best Metric to Measure Accuracy of Classification Models
Unlike evaluating the accuracy of models that predict a continuous or discrete dependent variable like Linear Regression models, evaluating the accuracy...
How to Compare Apples and Oranges? : Part I
How often have you come across the idiom “Comparing apples and oranges”. It is a great analogy to articulate that two things can’t be...