What is MaxDiff, or as some other sources may refer to it, Maximum Difference Scaling, or Best-Worst Scaling? Simply put, it is a survey research technique used to determine preferences between a predefined set of items. By analyzing MaxDiff survey data, we can draw conclusions such as which one is the most/least preferred or rank them.

In this blog post, I will dive deeper into the time-series. Time series data help to determine if a time-based trend exists and that knowledge can be used further, to predict future consumers' behaviors. I would like to share with you some of Nebu's good practices and tips on collecting and analyzing such data. I will also show you some ready-to-use visualizations that you can apply using Nebu.

R Markdown is a very popular choice in the field of marketing research. This package is widely used for creating automated reports and presentations for clients because it can execute R code during the rendering of a document. 

R is growing to become the most efficient way to work with (big) data. With R being an integrated part of our Nebu Data Hub, we want to spread the news and bring some of those powerful capabilities that R has to offer, closer to everyone in the fieldwork and market(ing) research industry.  

R offers many ways to improve internal processes and increase its efficiency; It can, for example, be used to generate PowerPoint presentations. Once an R code is created (internally or outsourced), it runs on a live data stream, and can deliver new editable files to relevant people eg. research executives, operations manager, etc for their further usage and processing, fully scheduled to meet your requirement.

Let’s take a look into details, shall we?