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Learn how you can Unlock Limitless Customer Lifetime Value with CleverTap’s All-in-One Customer Engagement Platform.
Heads Data Science.Expert in AI, Data & Analytics and awarded 40 under 40 Data Scientists in India.
Discover how AI-powered platforms like 8x8 and CleverTap build trust through transparent, personalized customer engagement at every touchpoint. Trust is
Push notifications are alerts or messages that apps send to a user’s device to capture attention and convey important information.
Want to understand your customers better? Learn how RFM analysis can help you segment your audience by value, uncover key
If you’re looking to better understand your customers, the truth is in the numbers. We break down 14 key customer
Customer lifetime value (CLV) represents the total revenue a business can expect to earn from a customer throughout their relationship.
In the previous article, we discussed how sampling could turn your Big Data to Smart Data and briefly laid out
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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