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Circles Australia Martech Dry Run

  • Posted by Jay Sankhla
  • On July 25, 2019
  • 0 Comments
Mac Safari Mac Chrome PC Chrome Mobile Apple Safari Mobile Apple Chrome Mobile Android Chrome Mobile Android InApp Mobile Apple InApp
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Nary_Max?…What is it & Why it’s important

  • Posted by Garima Mathur
  • On June 28, 2019
  • 0 Comments
  • data studio, data visualization, Datavinci, Digital Analytics, Google Analytics, Nary_max, Web analytics
A blog on Nary_Max! So, I have a simple question……Why do we use Google DataStudio? (Hint….the answer’s not the fact that its free) Is it to show data and its different visualizations in a beautiful aesthetic format? Yes Is it to show data  in a more dynamic and organized way, thus helping in analysis and […]
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3 Hacks from Data Studio

  • Posted by Garima Mathur
  • On June 26, 2019
  • 0 Comments
  • data studio, data visualization, Datavinci, Digital Analytics, Google Analytics, Nary_max, Web analytics
In today’s article, you will learn 3 tricks from the google data studio, which can make your life easier. Data Studio is Google’s powerful reporting and visualization solution for users who want to collate data from multiple sources into a single comprehensive, yet aesthetic visualization platform. The 3 hacks from data studio in this article […]
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Digital Analytics Segment Infographic

  • Posted by datavinci
  • On May 10, 2019
  • 0 Comments
  • data studio, data visualization, Datavinci, Digital Analytics, Google Analytics, Nary_max, Web analytics
The following info graphic helps in understanding the scope of segments in Digital Analytics. Enjoy:
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A New Standard Blog Post

A New Standard Blog Post

  • Posted by datavinci
  • On March 6, 2019
  • 0 Comments
  • data studio, data visualization, Datavinci, Digital Analytics, Google Analytics, Nary_max, Web analytics
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A Standard Blog Post

A Standard Blog Post

  • Posted by datavinci
  • On March 2, 2019
  • 0 Comments
  • data studio, data visualization, Datavinci, Digital Analytics, Google Analytics, Nary_max, Web analytics
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How to enhance Google Adwords and Analytics Integration

  • Posted by datavinci
  • On March 16, 2018
  • 0 Comments
  • Google Adwords, Google Adwords and Analytics integration, Google Analytics
Google Adwords and Analytics Integration- What is the objective of the blog post – In this post you will learn how to customize your Google Adwords and Analytics Integration to link your campaign information to other areas of your site apart from landing page and conversion. How it makes life easier – With standard integration, […]
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Bucket Testing

  • Posted by datavinci
  • On November 7, 2017
  • 0 Comments
  • AB testing, Digital Analytics, Personalization, Website Optimization
What Is Bucket Testing? Bucket testing (sometimes referred to as A/B testing or split testing) is a term used to describe the method testing two versions of a website against one another to see which one performs better on specified key metrics (such as clicks, downloads or purchases). There are at least two variations in each test, a […]
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Digital Analytics on Permanent Roommates

  • Posted by datavinci
  • On October 25, 2017
  • 0 Comments
  • AB testing, Digital Analytics, Personalization, Website Optimization
Yo, Permanent Roommates, Created by TVF and produced by CommonFloor.com. Lets start things by understanding the business objective of CommonFloor.com, which is an online real estate lead generation portal. At the time of creating this post, the online real estate market in India is nearly 250 crore Rs. and is expected to grow at 50-100% […]
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What is difference between Correlation and Covariance?

  • Posted by datavinci
  • On October 14, 2017
  • 0 Comments
  • Correlation, Covariance, R, Statistics
Correlation is standardized form of covariance. That means you can compare correlation of two data sets having different units. You can not compare covariance of two data sets that have different units. Now, how to find correlation and covariance in R? Two functions – cor() for calculating correlations cov() for calculating covariance Syntax for both […]
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