Introduction When it comes to pushing the boundaries of sports equipment design and innovation, there’s a game-changing tool that’s taking the field by storm: data mining. With the advent of technology and the increasing availability of data, sports equipment manufacturers have found a goldmine of insights that can transform the way athletes train, perform, and excel. In this article, we dive into the realm of data mining for sports equipment design and innovation, exploring how this powerful technique is revolutionizing the sports industry. The Power of Data Unveiled: How Data Mining Works Mi ..read more

Introduction When it comes to sports, there’s a lot more than meets the eye. Behind every jaw-dropping touchdown, mind-boggling slam dunk, or awe-inspiring goal lies a wealth of data waiting to be uncovered. Data mining, the process of extracting meaningful patterns and insights from vast datasets, has emerged as a game-changer in the world of sports analytics and scouting. By harnessing the power of data, teams and organizations can gain a competitive edge, make more informed decisions, and improve player performance. The Rise of Data Mining in Sports Analytics In the digital age, data has be ..read more

Introduction In the realm of sports, performance analysis plays a pivotal role in understanding player strengths, weaknesses, and areas for improvement. Traditionally, coaches and analysts relied on their observational skills and subjective assessments. However, with the advent of data mining, a powerful tool has emerged that takes performance analysis to a whole new level. The benefits of valuable insights from vast amounts of data, data mining allows for objective evaluation, pattern recognition, and informed decision-making. In this article, we will explore the remarkable benefits that data ..read more

Seth Stephens-Davidowitz has written a very entertaining book on big data and how it can be used to understand Humankind. The main idea of Seth is that Google searches is the most powerful source of information to understand what people really think about. Seth argues that the main advantage of Big Data is our ability to zoom in the data. When referring to Big Data, Seth is only dealing with the notion of Volume (not the other Vs). He defines Big Data by providing use cases with new kinds of data in large volume that were not available before. On Facebook and other social media sites, people t ..read more

Verbeke, Baesens and Bravo have written a data science book focusing on profit. Instead of the typical statistical or programming point of view, Profit Driven Business Analytics has a self-proclaimed value-centric perspective. This means the book approaches each topic with a focus on profit, costs and ROI. Each data science subject is briefly explained and illustrated with business cases. The authors concentrate on how profit can be taken into account (e.g. cost matrix and cost-sensitive methods). After a quick overview of data preparation, each classical machine learning algorithm is discusse ..read more

What do Swisscom, Expedia, Cisco, Google, Frontiers and Bühler have in common? They will present use cases at the Data Science Workshop, EPFL, June 4-6th. Industry Talks “The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications. In particular, the event will gather researchers and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining and computer science, along with ..read more

Verhoef, Kooge and Walk have written a detailed and technical book on the application of data analytics to Marketing. While not stated in the title, the subtitle makes it clear: the book is dedicated to people in Marketing and Sales. The strong academic background of the authors is transparent in the book, which is full of references. In the book, Big Data means lots of data (nothing related to Big Data architectures). While written with an academic angle, the book is full of examples. Marketing topics covered include brand metrics, value to consumer/firm and customer lifetime value (CLV). On ..read more

This is a guest post from Marcel Baumgartner, Data Analytics Expert at Nestlé S.A. Introduction Large publicly listed companies not only have external auditors who check the books, but often also a large community of internal auditors. These collaborators provide the company with a sufficient level of assurance in terms of adherence to internal and external rules and guidelines. This covers financial aspects (spend, invoices, investments, …), human resources (working time, payroll, …) but also production related aspects (e.g. food safety and quality). One of the strongest trends observed in in ..read more

This is a guest post from Jacques Zuber, Data Science Teacher at HEIG-VD. The commonly called deep learning or hierarchical learning is now a popular trend in machine learning. Recently during the Swiss Analytics Meeting Prof. Dr. Sven F. Crone presented how we can use deep learning in the industry in a forecasting perspective (beer forecasting for manufacturing, lettuce forecasting in retail outlets, container forecasts). Deep learning has a variety of applications as for example image and handwritten character recognition. It analyses a picture and will be able to conclude if it is a dog, a ..read more

Data Mining Research (DMR): Can you tell us who you are and how you came to the field of Data Science? Jerome Berthier (JB): My name is Jerome Berthier, I am an engineer in Computer Science and I have an MBA in management. After 10 years working in different roles for an IT provider (developer, sales representative, managing director), I joined ELCA in 2012 to head the BI division. At that time Big Data was starting to become a mainstream concept in IT and I had the great opportunity to be in charge of developing ELCA’s expertise in this field. We had to start from scratch, as Big Data was com ..read more