Client stories

Work delivered at organisations with very different questions.

The clients

Video

Charity

Ronald McDonald Kinderfonds

Digital support on a voluntary basis, so the organisation gets its data in order without taking budget away from the families.

Volunteer data support

Data student with a laptop on the way to a client in Rotterdam

Financial services

Robeco

Carried out the migration from Tableau to Power BI, with scripts and documentation secured. The data student joined Robeco directly after graduating.

Data migration → permanent role

Data student concentrating at a screen

Public sector

Vervoerregio Amsterdam

Linked timetable, geo and public transport card data, revealing which stops were no longer served after 8pm.

Data analysis for policy

Data student in conversation at the New Data office

Healthcare

Groene Hart Ziekenhuis

Modelled patient-reported outcomes using the ICHOM methodology and translated them into a report and dashboards for the department.

Management information for the department

Data student at the New Data office

Professional services

Highberg

Graduate talent for the Digital, Data & AI practice, pre-selected on analytical profile, motivation and fit with the team.

Recruitment for Data & AI

Two colleagues looking at the same screen together, by a window overlooking the city

Marketing

DoubleSmart

Built a working module in which customer data and AI detect marketing bottlenecks and translate them into usable advice.

AI module in production

Professional services

Pluut & Partners

A two-session AI training that led to AI agents supporting colleagues day to day.

From training to application

Data student at the New Data office

Sport & health

STERK

A collaboration between Fitter Nederland, Erik Wegewijs and Bas Kremer in which we support their data mission.

Data mission support

What it delivered

Robeco

Financial services

What was delivered

  • Automated reporting processes
  • Python and PowerShell scripts
  • Row Level Security
  • Checks on duplicates and data quality
  • Documentation and handover

What changed as a result

  • Reports refresh automatically
  • Staff only see the data that concerns them
  • Less manual work and fewer mistakes
  • Shorter lead times

Vervoerregio Amsterdam

Public sector

What was delivered

  • Linked geo and public transport datasets
  • Repeatable analyses and dashboards
  • Insight into evening coverage per district and stop

What changed as a result

  • Policy choices with evidence behind them
  • Faster insight into bottlenecks
  • Fewer ad-hoc analyses

Groene Hart Ziekenhuis

Healthcare

What was delivered

  • Cleaning and processing of electronic patient record data
  • An analysis-ready dataset
  • A repeatable data pipeline
  • Documentation and handover to the care team

What changed as a result

  • Care professionals relieved of data work
  • Less dependence on stand-alone tools
  • A basis for follow-up research

For the other 5 stories the outcomes are not here yet. We only publish them once they have been collected per assignment; an outcome we fill in ourselves is not an outcome.