Analytics And Data Visualization
Overview
Turning raw data into unique and provable findings, represented visually in an attractive and informative way is something we incorporate in our reports for better perspicuity.
Analytics
By using methods such as significance testing, correlation, linear regression, conjoint regression, factor analysis and cluster analysis, we provide comprehensive statistical analysis. We also include descriptive statistics in our reports that consist of mean, median, mode, variance, bivariate and multivariate analysis.
We use software such as SAS and some others:
R
Python
SPSS
Excel
Data Visualization
Our reports come with pictorial depictions of data so that clients can identify patterns and have a quick view of the information we gather in a summarized manner. We use visualization and presentation platforms such as Google Data Studio in our reports.
Some other tools that we use are:
Power Point
Visio
Tableau
