Cloud/Data Architect

The Designathon Works foundation organises Design Hackathons (Design-a-thons) for children aged 8 to 12. The target? Teaching children from all over the world skills to become a 'changemaker'. They are challenged to design solutions for a better world, for example to combat climate change. From the Datahub, we helped Designathon Works fine-tune the impact measurements free of charge. We also made a first move towards automating data collection, analysis and visualisation.

Publisher Malmberg collects a lot of offline and online data. More and more educational institutions are using online licenses in addition to (or instead of) printed teaching materials. To properly make use of this, Malmberg uses monthly reports. The in-house data team compiles these as input for specific departments. Malmberg asked us to strengthen this team and make the internal processes around data more efficient.

From 'ethical data to doing' is easier said than done. Some of the ethical considerations in the field of working with data are laid down in the Privacy Act (GDPR). Depending on the context, there are many more questions to ask ourselves. If something is legal, this does not automatically mean that it is also ethically responsible.

At Royal HaskoningDHV, the number of requests from customers with Data Engineering issues continue to climb. The new department they have set up for this, is growing. So they asked us to temporarily offer their Data Engineering team more capacity. One of the issues we offered help with involved the Aa en Maas Water Authority.

FysioHolland is an umbrella organisation for physiotherapists in the Netherlands. A central service team relieves therapists of additional work, so that they can mainly focus on providing the best care. In addition to organic growth, FysioHolland is connecting new practices to the organisation. Each of these has its own systems, work processes and treatment codes. This has made FysioHolland's data management large and complex.

The Neuron provides a programmatic bidding platform to plan, buy and manage digital Out-Of-Home ads in real-time. They asked us to predict the number of expected impressions for digital advertising on billboards in a scalable and efficient way.

The outbreak of the corona pandemic in early 2020 has turned the world upside down. In addition to countless infections, hospitalisations and deaths, we also saw an outbreak of violence in many countries. Citizens took to the streets, sometimes violently, to protest against the measures taken, but domestic violence also increased in many places and fear and frustration played a role in racism.

Mimic is a start-up that wants to help parents achieve the best feeding experience for babies through the Mimic baby bottle. This bottle provides the most natural drinking experience possible. Thanks to the patented cup system, the Mimic bottle ensures a calm drinking pace and reduces the risk of colic.

In times of the coronavirus (COVID-19), a good overview of the patients in the scaled-up intensive care of the Utrecht medical centre is vital. Employees must be able to view patient characteristics, the most current lab readings and the course of patients' vital signs at a glance. In addition, up-to-date insight into the bed occupancy per department and the capacity of the nursing staff is required. We immediately got started to provide the necessary insights for UMC Utrecht. As a way of also contributing in these times of crisis, we offered our hours free of charge.

Fietsvoordeelshop has seven physical stores and a webshop. It is one of the most successful bike shops at the moment. In the field of data, the bicycle shop mainly worked with Excel. This means that a lot was done manually, every week. Due to the growth of the organisation and the increasing number of processes, the Excel file became increasingly large and unclear. Fietsvoordeelshop asked us to demonstrate with a data pressure cooker of five days that data-driven work could be of added value.

Based on our know-how, the purpose of this blog is to transmit our knowledge and experience to the community by describing guidelines for implementing a data platform in an organization. We understand that the specific needs of every organization are different, that they will have an impact on the technologies used and that a single architecture satisfying all of them makes no sense. So, in this blog we will keep it as general as we can.

Infrastructure as Code has proven itself as a reliable technique for setting up platforms strongly in the cloud. However, it does require an additional investment of time from the developers involved. In which cases does the extra effort pay off? Find out in this article.

Deliver reliable and meaningful data to everyone from a solid, scalable infrastructure.

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.

In this video, you will find out what a job as a Data Engineer looks like! What does a working week look like, which clients do our Data Engineers work for and what makes working so much fun? Dennis likes to tell you more about it!