Data and Analytics

A brief primer on linear regression – Part I

Prediction has always been a curious topic in life due to a key attribute – the extreme human desire to

Written by: Pushpa Makhija
Published on: 26 May, 2016
Data and Analytics

Do you need big data or smart data ? : Part I

Big Data is the buzzword of our current times. A majority of the firms either use or wish to use

Written by: Jacob Joseph
Published on: 18 May, 2016
CleverTap

Using Raspberry Pi to build a commercial grade wall information dashboard

We recently built wall-information display screens for our offices to show interesting metrics of our production environment along with some business numbers we care

Written by: Francis Pereira
Published on: 11 May, 2016
Data and Analytics

Deriving better insights from Time Series data with cycle plots

Visualizing time series data for the analysis of numerical information like revenue, app launches, uninstalls, etc. can help analysts quickly

Written by: Jacob Joseph
Published on: 08 May, 2016
Data and Analytics

Data driven marketing – Cohorts

Data is a strong suite of some digital marketers while some struggle with big sets of data. It's becoming easier than

Written by: Shivkumar M
Published on: 07 May, 2016
Data and Analytics

How to remove duplicates in large datasets

Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even

Written by: Suresh Kondamudi
Published on: 19 Apr, 2016
Data and Analytics

How to treat missing values in your data : Part II

In the previous article, we discussed some techniques to deal with missing data. We will now look at an example

Written by: Jacob Joseph
Published on: 08 Apr, 2016
Data and Analytics

How to detect outliers using parametric and non-parametric methods : Part II

In the previous article, we discussed what an outlier is and ways to detect such outliers with parametric and non-parametric

Written by: Jacob Joseph
Published on: 31 Mar, 2016
Customer Engagement

How to treat missing values in your data : Part I

One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values. How

Written by: Jacob Joseph
Published on: 22 Mar, 2016
Data and Analytics

Telemetry with Collectd, Logstash, Elasticsearch and Grafana (ELG)

We are obsessed with collecting system and application metrics. This helps us make data driven, logical infrastructure decisions. When we

Written by: Francis Pereira
Published on: 14 Mar, 2016
Data and Analytics

How to detect outliers using parametric and non-parametric methods : Part I

An Outlier is an observation or point that is distant from other observations/points. But, how would you quantify the distance

Written by: Jacob Joseph
Published on: 14 Mar, 2016
Data and Analytics

How to Represent data with intelligent use of the coordinate system

The most widely used coordinate system to represent data is the Cartesian coordinates followed by Polar coordinates. Source: Wikipedia Basically,

Written by: Jacob Joseph
Published on: 07 Mar, 2016

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