主 题：Big Data Analytics – myths or truth?
主讲人：新加坡管理大学 Ma Nang Laik教授
主持人：西南财经大学经济信息工程学院副院长 李庆教授
时 间：2014年3月14日19:30~20:30
地 点：柳林校区颐德楼H101
主办单位：经济信息工程学院 科研处
主讲人简介：
Nang Laik is a director of Master of IT in Business-Analytics (MITB-A) at School of Information Systems, Singapore Management University (SMU). She holds a PhD from Imperial College, London where her research focused on operations research (OR) in the area of optimization.
Prior to joining SMU in 2008, she has 6 years of working experience as IT professional in Singapore at DBS bank and one of the largest transshipment port in the world, PSA. She has been in charge of delivering multi-millions decision support systems at the port.
Since she joined SMU, she has been teaching undergraduate core modules and master level courses in SMU. She has been teaching Business Process Modelling course and Computer as an Analysis Tool and Business Analytics Practicum. Her research expertise lies in the simulation and modelling of large scale real-world problems and the development of computationally efficient algorithms to enable sound and intelligent decision making in the organization. Nang Laik is an expert in transportation and logistics industry, she serves as a consultant for one of the best airports - Changi Airport Group to use data and decision Analytics to generate insights, make better decision and improve the business efficiency and productivity.
内容提要：
Organizations today are collecting massive amount of data from multiple data sources such as transactions sale data, social media, twitter and mobile phone. Data is a strategic asset; however organizations are struggling to gain useful, valuable business insights out of the data. In this talk, we will give you an overview of the business analytics trends in the past, present and the steps toward better decision making. We will also discuss the latest trend on big data analytics and the myths and truth about what big data can achieve and how it transforms the decision making process.
Real-world case studies of how big data Analytics has been applied to various industries such as finance, logistics and health care will be showcased. Through the case studies, the audiences will get an overview of the business problem, challenges faced, data required, and analytical solution delivered to solve the problem and understand the benefits of analytical decision making.
