Splitser | Wie Betaalt Wat

Company Splitser | Wie Betaalt Wat
Data maturity Describer
Branche company IT

Het vinden van groepen in je data

WieBetaaltWat is a well-known service from Splitser B.V that allows groups to easily and insightfully track group expenses and settle the expenses separately. The service can be used via web and a mobile app. WieBetaaltWat is the market leader in the Netherlands and is available internationally in 5 different languages under the name Splitser. The platform now has more than 3 million registered users. All users have already registered a total of more than €4.5 billion in spending.

Background Pattern

The challenge

Splitser is an app that allows you to easily offset group expenses. Splitser has a huge amount of user data and wanted to extract more insights from it. For example, they wanted to map what user types use their platform and what their needs are. The ultimate goal is to make the application more user-friendly and find opportunities for new revenue models.
Main challenges here were the quantity and structure of the available data. For example, more than 100 million rows of spending data were available. Moreover, users of the app use different terms for the same expenses; for example, more than 50 different terms or spellings were discovered for expenses related to toilet paper. Who could have predicted that?


What we did

We arrived at a trajectory of two clustering projects:

  1. In project 1, the data was explored for finding types of spending (think “groceries,” “tickets”),
  2. And in project 2, the data was explored for finding type of spending lists (think ‘vacations,’ ‘dorm,’ ‘sports team’).

The result

Two scripts/algorithms were eventually delivered, one for clustering and thus categorizing users’ individual expenses, and another for clustering and categorizing entire lists of expenses. In this way, the data has been cleaned up and – for instance – over 50 different terms for toilet paper now use the category “groceries”. The same is true for the lists, instead of ‘Huisje, boompje, beestje’ as the list name it is given the category ‘Household’.  The documentation provided shows how the student arrived at the results, insights were gained into the quality and structure of the data, and follow-up steps to the analysis were provided. This gives Splitser additional insight into their users and triggers follow-up steps.

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Background Pattern

Why collaborate with JADS MKB Datalab?

The JADS MKB Datalab supports Dutch SMEs that want to make the transition to a more data-driven way of working. The JADS MKB Datalab carries out projects with SME entrepreneurs and Data Science students. In addition, they offer several tools to help you define a Data Science project with impact, such as workshops, a Data Maturity Scan and a Data Project Canvas.

So if you want to take on a specifically designed short-term data science project for your SME with a JADS MSc student, visit the JADS MKB Datalab Website. 150 SMEs already participated!

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