Data Scientist

RNW Media builds online communities in countries with limited freedoms. In these communities, young people can read and discuss sexual and reproductive health and rights (SRHR) and civil rights. In addition, RNW Media is working on advocacy – putting the interests of young people on the map with governments.

Vesteda was curious if social listening – monitoring and analysing social media discussions about a brand, competitors, products or hashtags/keywords – could add value to the organisation. To this end, we started a project that consisted of two parts: exploring possibilities for social listening in the Corporate Communication department and applying social listening in an ongoing Data Science project.

Fair Wear is a non-profit organisation that aims to improve the working conditions of employees in garment factories. The NGO has collected a lot of documentation about its activities in recent years, for example in the form of reports from a complaint line for factory employees, reports of audits that check whether factories comply with the guidelines, and reports of training for factory employees. This information is stored as typed text, usually in Word or PDF format.

An increasing number of people are traveling by public transportation. Several stations in The Netherlands are being rebuilt or renovated to keep up with the growing number of train passengers. For the rebuilding and layout plans, information was needed on station traffic. NS Stations also wanted to improve transfer safety in collaboration with ProRail.

More and more organisations are getting started with data science. A logical consequence of this is clearly a growing number of related vacancies. But how do you set up a useful job description for a data scientist – and mostly: how do you actually pick the right one? We're giving you some hints on what to do, and what not.

It is now clear to most companies: data-driven decisions by Data Science add concrete value to business operations. Whether your goal is to build better marketing campaigns, perform preventive maintenance on your machines or fight fraud more effectively, there are applications for Data Science in every industry.

Everywhere at events and online, stories are told about what 'data science' is all about. Definitions are anything but consistent. They go from 'getting something of value out of data' to 'it's basically the same as statistics'. And a Data Scientist is 'a data analyst who lives in Silicon Valley' or 'a socially skilled IT person who does something with data'. But what is it really?

Consultancy.nl interviewed our Alex about the data pressure cooker. We launched this new service in spring 2020. During a data pressure cooker, we spend 5 days working with an organisation's data. Based on the outcomes, the client decides whether it wants to take further steps in the field of data-driven working.

If your organisation is active on social media and you want to optimise the online strategy, you need to know what is happening online around you and the impact of your activities. Social Network Analysis can help you with that. We explain what it is, how it works and the purposes it serves.

The Corona measures are a much discussed topic on Twitter. The crisis team not only fights against Corona's effects on public health, but also tries to maintain legitimacy for the decision to keep certain measures in place among the public. With this practical case we explain how you can make public opinion on Twitter transparent with Social Network Analysis.

The introduction of the new privacy law (GDPR) in 2018 has ensured that many organisations put privacy high on the agenda. In this article you can read about the 5 ethical risks of working digitally and using data. We also share a concrete solution: the Responsible Data Framework.