Prof. Alp Ustundag is a lecturer at Industrial Engineering Department in Istanbul Technical University (ITU). He is also the founder and coordinator of MSc in Big Data & Business Analytics program in ITU. He has conducted many research projects regarding data analytics in supply chain management and finance since 2006 and also he has published several research papers in distinguished journals. He teaches courses such as “Business Analytics for Managers” and “Industry 4.0 and Digital Transformation”. His research areas include intelligent automation, data science, supply chain management, financial analytics, digital transformation and innovation management.
Emre Cevikcan (PhD) is a Professor in Industrial Engineering from Istanbul Technical University. His research has so far focused on digital transformation of manufacturing and service systems, the design of production systems (assembly lines, production cells, etc.), lean production and scheduling. He has several research papers in scientific journals such as International Journal of Production Research, Computers and Industrial Engineering, Expert Systems with Applications, Maritime Policy and Management, Assembly Automation, and International Journal of Information Technology & Decision Making. Cevikcan is currently reviewer in International Journal of Production Research, Assembly Automation, Applied Soft Computing.
Omer F. Beyca is currently an Assistant Professor with the Industrial Engineering Department at Istanbul Technical University, Istanbul, Turkey. His current research interests include data science, machine learning, deep learning and sensor-based modeling and he has several research papers in distinguished journals. He teaches courses such as “Machine Learning in Industrial Systems”, “Neural Network Models in Industrial Systems” and “Data Mining for Business”.
3 有用 Romain 2024-02-25 00:27:44 新加坡
一本作者描述纠结的书。看上去希望能够成体系的介绍各个方面数据分析的应用,但是并不能很好的从商业和应用角度说清楚,还附带了很多难懂的公式。可能最大的收获就是格式化了商业分析的4个层级,描述性分析【发生了什么】,诊断性分析【为什么会发生】,预测性分析【将会发生什么】,规则性分析【应该做什么】