R Experience @ University of Groningen, Eneco, Delta and Cmotions Talent Academy

Last year we started with our R Experience at the University of Groningen. Where we taught Marketing and Marketing Intelligence students not only the basics of R and RStudio, but also how to perform data preparation and how to use different modeling techniques. At the beginning of the five courses none of the students ever saw the R language before. At the end they felt comfortable enough to not only perform the steps we showed them, but to also play around with R themselves. For us as teachers that was such a big reward. Which became even better after we saw the way the students evaluated the course; they graded us of a 8.5 out of 10 and everybody would recommend the course to others.

Because both we and them considered this course to be a big success, we went back for a second round this year. And also this time we consider it as a big success with a grade of 8 out of 10 and again everybody would recommend the course to others!

After the second round at the University of Groningen we also taught the R Experience at Eneco, Delta and our Cmotions Talent Academy. The employees of both Eneco and Delta are going to make a switch to R from SAS and SPSS and this is why they needed a kickstart in coding in R. This is exactly why we created the R Experience; it is intended to help people with analysis skills getting familiar and comfortable with the R language.

In a short time we gained a lot of knowledge about R. From the basics to useful tips and tricks. -Eneco

We consider it a job well done since Eneco rewarded our course with an 8.5 out of 10, and Delta with an 8 out of 10! And let’s not forget our Cmotions Talent Academy, these young and enthusiastic students rewarded our course with an 8,6 out of 10. And also in these three groups everybody would recommend our course to others.  We’re so happy to hear all these enthusiastic sounds!

This is now my favorite tool! – Student Talent Academy

Did we make you curious about our R Experience? The course consists of five modules, it starts with an easy introduction in writing R code. In the following modules we’ll go deeper and deeper, where we start with explaining the differences between R and Rstudio and touch topics like importing data and how to use functions. The next module consists of data manipulation and preparation, like outliers, highly correlated predictors, near zero variance and missing values. And in the last module we’ll use caret to show how you could train practically every algorithm you want for classification purposes.

Interested in the R Experience? Contact us!



Delete Facebook account? First get your friends’ birthdays

A few weeks back there was the Cambridge Analytica Scandal at Facebook, where the consultancy company collected data of around 87 million Facebook accounts in order to trying to convince them to vote for Trump. According to The Washington Post Cambridge Analytica was able to access the data because 270k users downloaded an app and thereby gave access to their friends data, without their knowledge. Since of April, 9th you can check on Facebook whether your account has been accessed by Cambridge Analytica.

We discussed this scandal with a couple of friends and were talking about deleting our Facebook accounts. One of the arguments to not delete their account was that without FB, they wouldn’t know the birthdays of their friends. So I created a simple Python script that scrapes the birthdays of all your friends. Check it here.

Quite ironic though, scraping Facebook because you want to delete Facebook because someone else scraped Facebook.





We crunch(ed) Artificial Intelligence Meetup – part two

For our second Meetup about putting Artificial Intelligence (A.I.) to practice, we were very happy to welcome Gerard Verbeek and Erwin Konink from Luminis and Matthijs van der Kroon from Primed.IO.Together they entertained the forty-man audience with their interesting stories.

Gerard and Erwin told us how they simulated a training environment for their self-driving cars. They use a genetic algorithm to train an entire population of vehicles, it was really fascinating to hear their story on how this works. We also got to see the end result when they let two of their cars drive around during the presentation. It was amazing to see these little vehicles driving around and avoiding all obstacles in the room using sonar.

DSC03774 DSC03784

After that Matthijs kept our attention with his story about, which is a platform that helps to easily put data science solutions into practice. He showed us how this platform is used at RTL Nederland. It was really nice to see how IT, data science and human knowledge and intelligence all come together in this platform.


All in all we really enjoyed the evening and we want to thank our speakers, but also our audience! It was so great to see you all coming (again for some of you) to our headquarters in Amersfoort. Thank you for your attention and questions and we hope to see you at our next Meetup, which will be on Wednesday 27 June 2018. Please sign yourself up for our The Analytics Lab Meetup group, to make sure you will stay informed about our Meetups!

We definitely hope to see you there!


Project Friday 2.1: let’s fly!

After all the fun we had, while also learning a lot, during our first Project Friday “Artificial Intelligence meets Coffee” project We felt it was time for a second project. So this time, instead of giving an eye and a brain to a coffeemachine, why not try to do the same to a drone?! What if we could make a drone come fly up to us when we call for it and tell it what to do after it recognizes who we are…

Our second Project Friday was born!

You might wonder what Project Friday actually is… Well, that’s an easy one; once a month(or so) we’ll lock some colleagues in a room with a couple of beers and a fun project. Why do we do this? Well, because it’s fun and we also learn a lot.

To get started with this Project Friday, we first needed a drone! We chose for the Parrot AR 2.0 Drone, because you can easily connect this drone to your computer to take over the command.


Most of this first afternoon was spend on trying to fly the drone inside. Which, we found out the hard way, isn’t so easy! A few walls were hit and we did see some people running for their lives, but in the end of the day everbody, including the drone, survived. All is good!

We even managed do give a few commands to the drone from the computer. Although the effect of the commands weren’t as succesful as we had hoped…


What we’ve learned so far:

  • flying a drone inside is difficult,
  • connecting to the drone from the computer is easy,
  • giving the right commands isn’t easy at all,
  • we love being pilots!




Aankondiging: The Analytics Lab Hackathon – Escape Room Style!

Het is weer tijd voor onze jaarlijkse The Analytics Lab Hackathon!

Dit jaar nodigen wij je uit voor onze Escape Room, waar je de heer Piet A. Choras kan helpen bevrijden. Dit wiskundige genie zit, ten onrechte, vast voor overfitting en heeft jouw hulp hard nodig om te ontsnappen. Op vrijdag 20 april 2018  (van 14:00 tot 20:00 uur) ontvouwt hij zijn meesterlijke ontsnappingsplan. Daarom doet hij een beroep op jouw rechtvaardigheidsgevoel en analytisch vermogen. Kom jij hem, in teams van maximaal 5 personen, helpen te ontsnappen uit de Atoomclub in Utrecht?

 Schrijf je dan nu in door een mail te sturen naar 

Wat, Wanneer, Waar:
The Analytics Lab Hackathon – Escape Room Style
Vrijdag 20 april, 14:00 – 20:00 uur
Atoomclub Utrecht, Atoomweg 50, Utrecht

Laat Piet A. Choras niet in de steek en kom helpen met zijn meesterlijke ontsnappingsplan!
2017 Heikoop Films - Evenement Cmotions (7) - klein

It’s time for edition two of our ‘We crunch(ed) Artificial Intelligence’ Meetup!

It’s time for edition two of our ‘We crunch(ed) Artificial Intelligence’ Meetup!

We’re very happy to announce that our first speakers will be Gerard Verbeek & Erwin Konink of Luminis. They’ll show us their experience on training robots to move around and pass obstacles in a room. We’ll get the ins and outs of their unique way of training: in a simulated environment, in a population of other robots.

And also our second speaker, Matthijs van der Kroon of Primed.IO, has a very interesting story. He’ll tell us more about how you can easily get from your (data science) model to the product you need to deliver the results back to the business and/or the customer facing frontends.

It’s going to be an exciting Meetup. We’re happy to welcome you with a free dinner :)
Get to know our enthousiastic team of young analysts and data scientists, and learn exciting stuff about Artificial Intelligence. RSVP to our Meetup! Looking forward to meet you :)

Check out the impression of our previous Meetup

Cryptocurrencies sessie

Op het moment van schrijven zijn er 1465 verschillende Crypto currencies op coinmarketcap. Dagelijks komen hier nieuwe valuta’s bij. Crypto currencies zijn hot en je kan geen week meer doorkomen of verjaardag bijwonen zonder dat iemand het heeft over Crypto currencies en/of blockchain. Desalniettemin kreeg de Crypto markt een behoorlijke klap te verwerken afgelopen week, grote munten zoals Bitcoin, Ethereum en Ripple daalden in een paar dagen tot wel 40%. Sommige experts denken dat deze dip komt door onder andere de realisatie van “wat kunnen we er eigenlijk mee?”. Deze vraag hadden we binnen The Analytics Lab en Cmotions ook. Vanuit ons vakgebied vinden we niet alleen de currencies interessant, maar zien we vooral ook toepassingen voor de blockchain technologie voor data, analytics en data governance.

Afgelopen vrijdag hadden we Daan Maasson van blockchainformation bij ons uitgenodigd om ons bij te praten over dit onderwerp. Door zijn ervaring in de cryptos, en dan voornamelijk in Initial Coin Offerings (ICO; uitgeven nieuwe valuta’s) wist ons uit te leggen hoe de blockchain technologie werkt, en hoe en waarvoor het gebruikt kan worden (naast virtuele valuta’s). Hij stond uitgebreid stil bij het uitgeven van nieuwe munten, waarom mensen daarvoor kiezen, waarom investeerders erin investeren en naar welke instanties men wel en naar welke men niet hoeft te luisteren als het gaat om wetgeving.

Als tegensprestatie lieten wij Daan onze trading bot zien. In de afgelopen weken hebben we bij The Analytics Lab de basis van onze automatische trading bot ontwikkeld. Een robot die op basis van geavanceerde algoritmes handelt in Crypto currencies en ons via text messages op de hoogte houdt van acties en waardeveranderingen in de portfolio. Binnenkort zullen we hier meer over vertellen!




Hoe we via Kunstmatige Intelligentie klanttevredenheid verhogen en kosten verlagen

Iedereen die wel eens gebeld heeft naar het servicenummer van een overheidsinstantie of een grote dienstverlener zal het ongetwijfeld herkennen: een lange wachttijd, een aantal keer doorverbonden worden en niet meteen het juiste antwoord krijgen. Sinds Youp van het Hek in 2010 een Twitter-storm startte over T-Mobile en de, in zijn ogen, beroerde klantenservice is er veel verbeterd in de meeste klant contact centers. Maar er kan ook nog steeds een hoop beter. Omdat wij wel van een uitdaging houden hebben we bij The Analytics Lab een dashboard gemaakt dat via kunstmatige intelligentie bedrijven helpt om hun klantcontact te verbeteren en tegelijkertijd hun kosten te verlagen. 

Een groot deel van de extra kosten in klant contact centers is te wijten aan onvoorziene proceskosten. Denk hierbij aan extra telefonische vragen of een groter aandeel klachten. Meestal leidt dit niet alleen tot extra kosten, maar ook tot een lagere klanttevredenheid. Vaak lijkt het alsof deze vragen en klachten het callcenter overvallen: de aard van de vragen en het volume zijn onvoorzien. Onvoorziene gebeurtenissen zijn echter wel degelijk goed te voorspellen met de juiste kennis, de bedrijfsprocessen en de combinatie met kunstmatige intelligentie.

Via kunstmatige intelligentie kunnen wij een dashboard opleveren dat gebruikmaakt van voorspellende algoritmes die realtime aanbevelingen kunnen doen. Deze aanbevelingen voor procesverbetering kunnen per uur, dag, week en maand niveau gegeven worden. Op basis van een zelf gecreëerde dataset met onze data sampler hebben we een eerste versie van een dashboard gemaakt om meer grip te krijgen op onverwachte kosten. Daarnaast zijn we van mening dat het realtime omzetten van spraak naar tekst waardevolle informatie genereert. Daardoor is sneller inzichtelijk wat de daadwerkelijke reden is van een telefonische vraag. Via sentiment analyses kunnen we ook inzicht geven over het sentiment van elk gesprek en kan er een psychometrische profiel van een beller worden gemaakt. De eerste versie van ons dashboard staat nu live.

Benieuwd naar ons dashboard? Wilt u weten hoe uw bedrijf via kunstmatige intelligentie meer grip kan krijgen op klantinteracties? Neem dan een kijkje op de pagina Het ongeplande voorspellen of neem contact met ons op.

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“We crunch(ed) Artificial Intelligence” Meetup

On December 13 we had our very first The Analytics Lab Meetup at our Headquarters in Amersfoort. Despite the traffic jams around Amersfoort and a broken train that blocked the track between Utrecht and Amersfoort we could welcome around thirty people on this cold Wednesday. Unfortunately one of our expected speakers, Thomas Stalman from wasn’t one of them, the broken train made it impossible for him to get to Amersfoort on time. But on the bright side, this means we already have an amazing speaker planned for our next meetup!

After some simple but nice dinner, our other three speakers made grateful use of the space that Thomas left for them and brought their story full of enthusiasm to the bedazzled attendees of the meetup. Our first speaker was Klaas Tjepkema who told us about the Advanced Data Sampler and about the plans he has to evolve this. A story about dreaming big and starting small, a perfect example of putting AI to practice. Our second speakers were Joost van der Leegte and Willem van der Geest who told us about their Project Friday Project: AI and Coffee. This project is part of our The Analytics Lab Playground, where we can play around, have fun and learn a lot of new skills! In their presentation Joost and Willem told us more about the coffee machine that was extended with facial recognition. We even got a live demonstration of this coffee machine.

All in all it was a really interesting and fun evening, which gave a nice opportunity to learn more about artificial intelligence in general and data sampling and facial recognition more particular.

Thanks to everybody who was there at our very first meetup, we definitely enjoyed it and hope you did as well!

If you want to know more, or you want to be informed about our next meetup, please sign up at and join our The Analytics Lab group. We’d love to see you there!