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Nebu's Market Research Solutions and Services Blog

Posted on 9 February 2018 in GDPR
by Pauline Besnier
6 min

What is GDPR? - Requirements, Principles, & deadlines - Guide | Nebu

In the previous post, we explained what the main new roles introduced by GDPR are and what the impact of the new legislation is. Now, let's dive into more details.

Who is concerned?


If you process EU citizens data as part of your activity, regardless whether that processing occurs in or out of the EU, then the GDPR applies to you. Bear in mind that employee data and customer data ARE personal data. And the simple fact of storing that data is considered a processing activity.


Six principles of the GDPR 

The GDPR is not simply a ticking boxes process to avoid a big fine. It is principles driven and aim to change the way we perceive and treat personal data. There are six principles, listed below:

Posted on 6 February 2018 in Big Data
by Malgorzata Mleczko
4 min

R in Marketing Research | 2018 Trends

R has gained massive popularity in the past decade as the tool of choice for a wide variety of data analysts. The language is used as part of the data analysis toolchain in some of the biggest companies in the world. The former Revolution Analytics listed up some of the companies that work with R. That list looked impressive already in 2014 including Facebook, Google, Twitter, Monsanto, the FDA, Lloyds, Credit Suisse. Airbnb joined the club in 2016.  

R usage continues to grow (Rexer).jpg

There are a few organizations that regularly monitor and publish reports on trends in the data science world. To fully grasp the importance and potential of R in marketing research it makes sense to mention a few key metrics of the most influential industry reports.  

Posted on 6 February 2018 in Big Data
by Malgorzata Mleczko
4 min

Why R for marketing research? - 6 reasons to use R | Nebu

R first appeared in the 1990s in New Zealand, as an implementation of the S statistical programming language. R was written by statisticians, with statistics and data in mind. It is a perfect choice for data analysis, statistical modeling, simulation and graphics. Even though these are key distinguishing features of R, the language provides some other powerful features we will mention below.


Statistics and data in the DNA

R allows you to manipulate (e.g., subset, recode, merge) data quickly.  Some R packages have been designed specifically for these purposes, e.g., dplyr. Typically, a majority of the time spent on an analysis project is spent on the analysis—preparing the data.  R is much adept and efficient in data preparation. Collected data often requires many steps in data processing to be ready for analysis, so R is ideal.

Posted on 15 December 2017 in GDPR
by Wouter Eijben
4 min

GPDR for marketers - Marketing research - Complete Guide | Nebu

Most likely, you have heard about upcoming new legislation in relation to the processing of personal data. This General Data Protection Regulation (GDPR) will be in effect per May 25th, 2018, and has a big impact on Market Research, as well as other industries.

In many market research projects, personal data is being collected, which means you have to have a basic understanding at least, of what GDPR entails. In this article we want to inform you about steps you can take to ensure you comply with the new legislation, to avoid potentially high penalties.

GDPR ready.jpg

What is the GDPR?

The General Data Protection Regulation (GDPR) is a regulation by which the European Parliament, the Council of the European Union and the European Commission, intended to strengthen and unify data protection for all individuals within the European Union (EU). The GDPR aims primarily to give control

Posted on 6 December 2017 in Big Data
by Frank Sibbel

5 Steps to Get The Most of Your Organization’s Data

Often, the information that can help answer certain specific questions (churn, cross &-upselling and employee flow) already exist within the company, hiding in plain sight.


It is often a challenge leveraging  data about your  customers or employees for insights to answer questions. If companies could improve their data practices at five important stages, they could become much more effective in solving some of the most pressing problems they face. We think the following steps are important. 

Posted on 27 November 2017 in CSR
by Malgorzata Mleczko
4 min

100WEEKS & Nebu changing lives - Social responsibility

For more than one billion people currently living in extreme poverty, life is an everyday struggle. Many of them know very well how to escape poverty but lack the opportunity to realize their potential. 100WEEKS provides one hundred weeks of coaching and financial support for women in Africa. Their mission is well captured by their tagline “Temporary Cash for Permanent Change”. 

100WEEKS has inspired Nebu to officially launch its Social Responsibility Program. Nebu is supporting the organization by providing market research tools to measure the impact of their upcoming project in Ghana. 



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