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; [email protected] • 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; [email protected] 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