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WhatsApp has quickly become one of the most effective customer engagement channels, with consistently high open and response rates. But
The Indian Premier League (IPL) has evolved into India’s biggest marketing stage, with ~620 million viewers expected in 2026 and
Your team spent six weeks building a re-engagement campaign. You did everything by the playbook. Initially, the open rates looked
Shoppers move fast. One scans running shoes on your site, drops a premium pair into their cart, then hesitates, perhaps
Easter is a vibrant time of family gatherings, gifting, and springtime celebration, making it a prime opportunity for brands to
Big Data is the buzzword of our current times. A majority of the firms either use or wish to use
Visualizing time series data for the analysis of numerical information like revenue, app launches, uninstalls, etc. can help analysts quickly
In the previous article, we discussed some techniques to deal with missing data. We will now look at an example
In the previous article, we discussed what an outlier is and ways to detect such outliers with parametric and non-parametric
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values. How
An Outlier is an observation or point that is distant from other observations/points. But, how would you quantify the distance
The most widely used coordinate system to represent data is the Cartesian coordinates followed by Polar coordinates. Source: Wikipedia Basically,
Why would you want to convert a numerical variable into categorical one? Depending on the situation, it can lead to
As an analyst, you can explore the relationship between variables both quantitatively and visually. However, only looking at the quantitative
In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts
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