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  • Sandjai Bhulai

  • Sandjai Bhulai

    Vrije Universiteit Amsterdam
    Department of Mathematics
    De Boelelaan 1081a
    1081 HV   Amsterdam
    The Netherlands

Sandjai Bhulai is full professor of Business Analytics at Vrije Universiteit Amsterdam. He studied "Mathematics" and "Business Mathematics and Informatics", and obtained a PhD on Markov decision processes for the control of complex, high-dimensional systems. He is co-founder of the Amsterdam Center for Business Analytics (ACBA), co-founder of the postgraduate programme Business Analytics / Data Science, and also co-founder of Prompt Business Analytics.

Sandjai's research is on the interface of mathematics, computer science, and operations management. His specialization is in decision making under uncertainty, optimization, data science, and business analytics. His current research projects focus on HR analytics, social media analytics, predictive analytics, dynamic pricing, and planning and scheduling in complex systems. His passion for research is also reflected in his teaching for which he received the "Excellence in Teaching Award" for best lecturer of both the faculty and the university in 2006/2007.

Research projects

Predictive HR Analytics

Predictive HR Analytics

Analytics that leverages the wealth of employee data to make better decisions.
Social Media Analytics

Social Media Analytics

Take the pulse of your audience: from social listening to social intelligence.
Dynamic Pricing

Dynamic Pricing

Advanced analytics for pricing: with power like this, comes great opportunity.
Dynamic Ambulance Management

Dynamic Ambulance Management

Proactive planning of ambulances: analytics that saves lives.
Predictive Policing

Predictive Policing

Data-driven policing: understanding crime with analytics.
Planning in Telecommunications

Planning in Telecommunications

Analytics to anticipate problems, predict performance, and optimize services.
  • Predictive HR Analytics
  • Social Media Analytics
  • Dynamic Pricing
  • Dynamic Ambulance Management
  • Predictive Policing
  • Planning in Telecommunications

  • Predictive HR Analytics

    Analytics that leverages the wealth of employee data to make better decisions.

    Research Goals

    The emergence of predictive analytics is arguably the most practical tool and greatest potential for organisational management. It presents a tremendous opportunity to help organisations understand what they do not yet know. By identifying trends and patterns, HR professionals and management teams can make better strategic decisions about the workforce challenges that they may soon face. In this research project we focus on
    • Diversity analytics
    • Employee engagement
    • Employee performance
    • Employee turnover
    • Recruitment and selection analytics

    PhD students

    • Ruben van de Geer
    • Corne de Ruijt

  • Social Media Analytics

    Take the pulse of your audience: from social listening to social intelligence.

    Research Goals

    Conversations on the Internet produce massive amounts of unstructured data. By listening to these conversations, one can gain greater visibility into a topic or market by spotting trends and discovering new insights in data across multiple social channels. Social media analytics is key in attaining these goals. In this research project we focus on
    • Computational linguistics
    • Network analytics
    • Real-time clustering
    • Topic detection
    • Trend prediction

    PhD students

    • Marijn ten Thij

  • Dynamic Pricing

    Advanced analytics for pricing: with power like this, comes great opportunity.

    Research Goals

    The core of modern pricing and profitability management is advanced analytics targeted at customer and business outcomes to understand price leveraging and trade spend effectiveness. Optimization of pricing decisions represent one of the largest opportunities for companies to drive incremental sales and profits. In this research project we focus on
    • Assortment analytics
    • Customer choice models
    • Dynamic pricing
    • Markdown strategies
    • Personalised pricing

    PhD students

    • Ruben van de Geer
    • Rudi Meijer

  • Dynamic Ambulance Management

    Proactive planning of ambulances: analytics that saves lives.

    Research Goals

    In life-threatening emergency situations where every second counts, the ability of ambulance service providers to arrive at the emergency location within a few minutes to provide medical aid can make the difference between survival or death. A highly promising development in the ambulance sector is the emergence of dynamic and proactive relocation strategies. Analytics forms the basis for this analysis. In this research project we focus on
    • Approximate Dynamic Programming
    • Dynamic relocation
    • Fleet planning
    • Optimal dispatching
    • Response time reductions

    PhD students

    • Thije van Barneveld
    • Martin van Buuren
    • Caroline Jagtenberg
    • Geert-Jan Kommer

  • Predictive Policing

    Data-driven policing: understanding crime with analytics.

    Research Goals

    Predictive policing, with roots in business analytics, relies on using advanced technological tools and data analysis to take proactive measures to “pre-empt” crime. It helps nationwide law enforcement agencies that face the problem of doing more with less. Moreover, these techniques help to understand crime to implement appropriate interventions. In this research project we focus on
    • Anomaly detection
    • Forecasting
    • Hotspot mapping
    • Residential burglary
    • Spatio-temporal modelling

    PhD students

    • Maria Mahfoud
    • Willem van der Sluis

  • Planning in Telecommunications

    Analytics to anticipate problems, predict performance, and optimize services.

    Research Goals

    Business analytics encompass sophisticated business intelligence technologies that are packaged to satisfy the complex requirements of telecommunications. These include increasing sales, reducing churn and fraud, improving risk management and decreasing operational costs. The adoption of analytics in telecommunications is intended to improve visibility into core operations, internal processes and market conditions. In this research project we focus on
    • Cache design
    • Capacity planning
    • Performance prediction
    • Network optimization
    • Sensor networks

    PhD students

    • Asparuh Hristov
    • Martijn Onderwater
    • Frank Phillips

  • Predictive HR Analytics
  • Social Media Analytics
  • Dynamic Pricing
  • Dynamic Ambulance Management
  • Predictive Policing
  • Planning in Telecommunications
Vrije Universiteit Amsterdam
Amsterdam Center
Data Science Alkmaar
Prompt Business Analytics