Turning Data into Business

Composition
of the center
Some examples
of projects
Erasmus Center for
Data Science and
Business Analytics
Joint initiative
The Erasmus Center for Data Science and Business
• Analyze smart card data to forecast peaks in
Analytics is a joint initiative of various research groups
customer travel behavior and align these with
within Erasmus School of Economics (ESE) and Rotterdam
infrastructure capacity (NS: the Dutch railway operator);
School of Management, Erasmus University (RSM).
• Develop learning agents to optimize auction
design by predicting customer bidding behavior
The center combines the available expertise from
different scientific disciplines including business
(FloraHolland);
• Detect safety and security risks using large data
information management, marketing, econometrics,
sets to improve Customs’ risk analyses and improve
innovation management, operations research, and
supply chain performance
business strategy. Application domains of the center
include marketing analytics, e-commerce, business
(EU Cassandra, Dutch and UK Customs);
• Predictive analyses of demand patterns based
(network) operations, supply chain management,
on (online) transaction data, making possible
transport & mobility, and HR & learning analytics.
personalized product recommendations and
contextual marketing;
Moreover, the center bundles knowledge on methodo-
• Probabilistic customer base analysis models to
logies, management and legal aspects. These research
understand customer heterogeneity and predict
groups are currently active in the center:
customer behavior;
• Department of Technology and Operations
Management (RSM);
• Econometric Institute (ESE);
• Marketing group within the Department of Business
Economics (ESE);
• Department of Marketing Management (RSM).
• Recognize financial events in news messages,
and apply these in algorithmic trading
(NWO: The Netherlands Organisation for
Scientific Research);
• Sensor-based traffic flow prediction
(CBS: Statistics Netherlands);
• Nowcasting using online search queries;
• New media analytics: design and effectiveness
of (on-line) communication;
• Influence of choice architecture on online
market places;
• Assessing supplier default risk from
supply chain data.
Turning
data into
business
What does the
center offer?
Research
focus
Turning data into business solutions
Education
More
information
Contact information:
The Erasmus Center for Data Science and Business Analytics
• Post-experience teaching and in-company programs;
Jan van Dalen
supports organizations in turning data into business solutions.
• Highly qualified students for internships and
Associate professor of Statistics
The center:
research projects.
Department of Technology and Operations Management
• offers knowledge and analytical skills to identify business
Rotterdam School of Management
Research
Erasmus University Rotterdam
• develops methodologies to analyze and visualize data;
• Data- and analytics-related knowledge and tools;
jdalen@rsm.nl
• helps organizations to exploit data-based insights and
• Fundamental research in business-driven data science;
Dennis Fok
opportunities in public and private data;
to develop and optimize business propositions based
• Test bed for data-science projects.
on data analytics;
Professor of Applied Econometrics
• helps in data governance: integrate data solutions in
the organization and manage data security.
Valorization
Econometric Institute
• Business-driven data science workshops and annual
Erasmus School of Economics
summer school;
The center helps companies to extract business value from
Erasmus University Rotterdam
• Applied research projects in co-operation with companies;
dfok@ese.eur.nl
their data. It also presents a platform for knowledge exchange,
• A platform for knowledge exchange and networking;
access to expertise, student interns, and offers research-based
• Innovative look at available data and data generating
Website:
solutions and innovations. The center distinguishes itself from
other data science initiatives by its explicit focus on businesses.
processes;
www.erim.eur.nl/centres/data-science-business-analytics/
• Data science and business analytics spin-off activities.
Organizing the information technology is an important skill,
but turning data into business requires many additional skills.
The center not only has the technical knowledge, but also
in-depth knowledge of various business domains.
Marketing analytics
Business operations
Supply chain
management
Transport mobility
HR & learning analytics
Opportunities
Methodologies
Exploitation
Governance
• identify data
opportunities
• formulate
business
problems
• use external
and internal
company data
• collect mobile,
web and
operational data
• new analytical
processing
methods, e.g.
smart algorithms, data
mining, social
media mining,
predictive
modeling
• new visualization methods
• optimize
business
operations
• develop new
business models
based on datadriven insights
• integrate data
solutions in the
organization
and business
network
• achieve
standardization
• manage data
security and
data privacy
ERIM is the joint research institute of Rotterdam School
of Management and Erasmus School of Economics,
Education – Research – Valorization
Erasmus University Rotterdam