Leadership Challenges with Big Data and Analytics

Artificial Intelligence will without any doubt change the way we will do business in future. As a matter of fact, it is already changing many businesses that we are involved in today. But what is needed to make Artificial Intelligence a valuable part of the way we do business ourselves? Many experts believe that successful Artificial Intelligence applications hinge on the so-called b-smact technologies (Blockchain, Social media, Mobile use, Analytics, Cloud and Things-on-the-internet or better known as IoT). The fuelling component of those technologies is Big Data.

Start your transformation towards data-driven

This insight will require a whole new set of business skills. Understanding and working with new technologies for big data collection, analysis and prediction will not create only huge opportunities for business, but also ethical, legal, privacy and technical issues concerning every part of the organisation. It will influence customer relationships, redefines how firms develop new products and services, changes how operations are organised and managed, improves demand and supply networks, and provides the basis for new business models. It will demand a data driven focus of everyone involved.

Organisations transforming towards becoming data-driven are guided and supported by the eight-day ‘Leadership Challenges with Big Data and Analytics’ programme at RSM Executive Education. It connects professionals in technical- and methodology-oriented data science with professionals engaged in business analytics, links them to best business practices, and actively involves senior executives. This programme has been developed and organised by the Erasmus Centre for Data Analytics with a wide range of partners from the industry. 

Learning objectives

After participating in this programme, you will be able to:

  • provide professionals engaged in data science and business with academically sound and new ways to apply big data technologies in order to design and implement innovative and successful business applications

  • improve the business skills of technically focused data scientists by exploring business thinking, business-case creation, and problem solving from a business angle

  • improve the technical skills of business focused executives as they acquire new knowledge and understanding of data science methodologies and techniques

  • increase collaboration between data scientists and business executives by increasing mutual understanding

  • provide a cross-industry learning platform for professionals to learn from experiences in other relevant industries

  • broaden data scientists’ and business executives’ understanding of privacy and security as to provide solid data-driven and GDPR compliant business applications.

  • engage participants with senior executives and supervisors to facilitate implementation of business applications.

The programme uses a holistic approach by participation in multi-disciplinary and multi-hierarchical teams from various industries and a learning-by-doing approach from peers and via coaching by top academics and business experts.    

Key features

Length 8 day programme
Start date March 2019
Target group Company teams of data scientists, business analysts and their executives and supervisors
Teaching methods
  • Blended learning concept
  • Individual coaching
  • Action based: improving one's own use cases
Language English
Faculty Taught by internationally renowned top scientists from Erasmus University Rotterdam (Rotterdam School of Management and School of Economics), TU Delft, Leiden University and several guest speakers from business
Certificate Official certification by Rotterdam School of Management, Erasmus University.
  • The course is divided into four blocks to allow the application of the concepts learned.

    BLOCK 1: INTRODUCTION AND PREPARATION SESSION

    Two days of preparation sessions, during which each participating company is expected to bring at least one case study to which the teams can apply the concepts they have learned. During this part of the programme, you will focus on the strategic importance of data-driven organisations, terminology, leadership challenges and readiness of companies, including their enterprise architecture and digitised platform. It includes case studies from other companies and short presentations from participating companies. 
    20 - 21 September 2018

    BLOCK 2: CORE PROGRAMME PART 1

    Two days including one evening session during which you explore the basic technology challenges of a data-driven company; technologies for analysis, prediction and visualisation. The evening session will focus on exchanging information and insights between the participants including a get to know each other social event with an academic touch.
    10 - 11 October 2018

    BLOCK 3: CORE PROGRAMME PART 2

    Two days including one evening session during which you explore the basic management challenges of data-driven company; business cases, legal and privacy issues, change management and implementation. The evening session will focus on the company use case, consulting with both academic- and business coaches.
    14 - 15 November 2018

    BLOCK 4: FINAL SESSION

    Two days for fine tuning the gained knowledge and turn it into applicable wisdom. Discuss challenges you have experienced in transforming your business and the implementation of your proposals. In the afternoon of the second day each team’s case study results will be presented to an expert panel and discussed in the class. 
    17 - 18 January 2019

  • This programme is suited for company teams from data-intense industries with one or more data scientists and one or more business analysts working with business models and applications, as well as senior executives and supervisors. Professionals in non-profit organisations and governments, particularly those who work on smart city concepts, may also benefit.

  • Faculty members of RSM and ESE combine impeccable academic credentials with a thorough knowledge of business practice. Selected for their ability and experience in executive teaching, they will draw on their research and knowledge to deliver a unique learning experience.

    Dr Jan van Dalen
    is associate professor of statistics at RSM. He is the co-founder of the recently established Erasmus Centre for Data Science and Business Analytics, and co-director of E-Urban, and leads the Urban Big Data knowledge lab in collaboration with the City of Rotterdam. His main research interests are in quantitative analysis of information, logistics, trade and organisational processes, and he has been involved in research programmes that include monitoring trade and traffic flows with CBS, trade lane risk assessment in Cassandra, and cross-chain collaboration in 4C4More/Dinalog. He has extensive teaching experience in applied statistics, forecasting and big data in bachelor, master and executive teaching programmes.

    Prof. Eric van Heck 
    is a professor of information management and markets at RSM. His research concentrates on the role and impact of advanced information systems and technologies helping to solve complex societal and business challenges. He is working on sustainable ways of working, multi-agent systems for smart energy grids, mobile banking platform ecosystems for financial inclusion, and sustainable maritime logistical systems. His research is carried out with innovative companies and universities in Brazil, China, Europe, Indonesia, and the USA.

    Prof. Ting Li
    is a Professor of Information Systems and the Academic Director of MSc Business Information Management at Rotterdam School of Management (RSM), Erasmus University. She is the founding member of the Erasmus Centre for Data Science and Business Analytics. Ting Li is an expert in Digital Strategy, Ecommerce, Social Media Analytics, Mobile Marketing, Business Analytics, Online Advertising, and Pricing and Revenue Management. She has consulted and worked in various capacities with Shell, KPMG, PwC, Accenture, Coolblue, Wehkamp, Zelf, Tweakers, Shop2Market, Dutch Railways, RET, amongst others.

    Dr Jason Roos
    is an assistant professor in the Department of Marketing Management at RSM. His research focuses on the way users and marketers engage with new media and has been published in top academic journals. Before entering academia, he worked as a consultant and software engineer in Seattle, USA, and was managing director of an internet marketing and software firm. He earned his PhD in marketing from Duke University’s Fuqua School of Business, and received the prestigious INFORMS Society for Marketing Science Dissertation Award in 2011.

    Prof. Peter Vervest 
    is professor of information management and networks at RSM who says big data is automated decision-making combining big amounts of distributed, often poorly aligned and non-authenticated data from many sources. He sees the Internet of Things as presenting a set of technological, business and societal challenges. Peter’s contribution to the development and creation of open information systems dates back to the publication of Electronic Mail and Message Handling in 1985, a landmark publication for developing global communications networks such as the internet and a focus on smart networks resulted in the publication of Smart Business Networks in 2005 and The Network Experience in 2009. He has conducted research for large firms and the EU, and is also chairman of the complexity studies programme of the Netherlands Organisation for Scientific Research.

    Prof. Dennis Fok
    is an endowed professor of applied econometrics at the Econometric Institute, Erasmus School of Economics (ESE). He specialises in developing models to describe, understand, and predict decisions made by consumers. His technical interests include modelling unobserved heterogeneity, marketing econometrics, and Bayesian statistics and his research has been published widely in peer-reviewed academic journals. He is also associate director of the Erasmus Research Institute of Management (ERIM), and has supervised many econometrics master students with business-related data research theses.

  • The Leadership Challenges with Big Data and Analytics programme is an 8-day programme offered in Rotterdam. Read on for more practical information.

    Dates

    Start March 2019 > Apply now
    Block 1:      TBA
    Block 2:      TBA
    Block 3:      TBA
    Block 4:      TBA

    Fee

    The fee for each participants for the eight-day programme is € 6,950 (excl. VAT). This includes course materials, access to the e-learning platform, individual coaching during the programme, lunches, three dinners and social activities. Discounted rates apply and according to the number of participants per organisation, and are shown in the table below. For teams with more than five participants, each additional participant over five participants is € 6,050 (excl. VAT).

    Number of participants                 Cost per participant        Cost for partner organisation

    1                                                              € 6,950                                  € 6,950

    2                                                              € 6,950                                  € 13,900

    3                                                              € 6,950                                  € 20,850

    4                                                              € 6,450                                  € 25,800

    5                                                              € 6,050                                  € 30,250

    Please contact us for more information: moosterhout@rsm.nl.

    Cancellation policy

    Cancellation notices must be received by email: moosterhout@rsm.nl. The following cancellation fees apply:

    • More than 14 days before the programme’s start date: 25% of the programme fee will be charged
    • Between 14 and 7 days before the programme’s start date:  75% of the programme fee will be charged
    • 7 days or fewer before the programme’s start date: 100% of the programme fee will be charged
    • Cancellations received on or after the programme’s start date: 100% of the programme fee will be charged.

    Replacements

    The participant can be substituted by someone from the same company on the same course without extra costs.

    General terms and conditions

    Please click here to view RSM Executive Education’s general terms and conditions.

    Location

    The programmes take place at Rotterdam School of Management, Erasmus University, Burgemeester Oudlaan 50, Rotterdam.

    Hotel accommodation

    If you require hotel accommodation in Rotterdam, we recommend Novotel Rotterdam Brainpark, adjacent to the university.

  • If you would like to join the programme, please contact us for registration:

    Dr Marcel van Oosterhout

    E:  moosterhout@rsm.nl
    T:  +31 10 408 8816
    M: +31 6 48632174

    After receiving your registration, we will send you a Participation Agreement, and every participant is required to fill out the registration form and send a digital photo.