Many companies are flooded with huge amounts of data available in corporate databases and/or data warehouses. A key challenge is how to optimally manage this data overload and use analytics to better understand, manage, and strategically exploit the complex dynamics of customer behavior. In this course, you will learn about the steps involved when working out an analytics project in a practical business setting. Additionally, you will learn about the key data preprocessing activities as well as how you can efficiently use and deploy predictive, descriptive and social network state-of-the-art analytics to optimize and streamline your strategic business processes such as marketing campaigns and risk management. You will receive extensive practical advice and guidelines on how to put all the analytical tools and concepts to work in a real-life setting. The class focuses on analytical concepts, techniques, and methodologies and their applications. Software code illustrates and clarifies the concepts, but no hands-on use of software is included. The class includes self-study sections with additional real-life case studies.
Tim Verdonck is a professor at the Department of Mathematics of KU Leuven. He has a degree in Mathematics and a PhD in Science: Mathematics, obtained at the University of Antwerp. During his PhD he successfully took the Master in insurance and the Master in financial and actuarial engineering, both at KU Leuven. He belongs to ROBUST@Leuven, the research group on Robust Statistics and his research focuses on the adaptation and application of robust methods for financial, actuarial and economic data sets.
October 2019, 10 & 11
Holiday Inn Gent Expo
9am – 5pm
(*) Subscribe now to the Value Chain information package (€ 139) and enjoy the discounte rate
- Value Chain/PICS members: € 1350
- Non-members: € 1500 (*)
Are you an employee, self-employed person or partner of a Flemish SME? With the SME portfolio, you can recover up to 40% on the registration fee. More info on kmo-portefeuille.be
or contact Valerie on the number 050 40 80 80 or via valerie@valuechain