Technological advances in the last five years have allowed organizations to use Business Analytics to provide insights, increase understanding and it is hoped, gain the elusive ‚competitive edge‘. The rapid development of Business Analytics is impacting all enterprise competences profoundly and classical business professions are being redefined by a much deeper interplay between business and information systems.
As computing capabilities for analysis has moved outside the IT glass-house and into the sphere of individual workers, they are no longer the exclusive domain of IT professionals but rather accessible to all employees. Complex open-source data analytics packages and client-level visualization tools deployed in desktops and laptops equip virtually any end-user with the instruments to carry out significant analytical tasks. All the while, the drive to improve ‚customer experience‘ has heightened the demand for data involving customers, providers and entire ecosystems.
In response to the proliferation of Business Analytics, a new Center and Masters of Science Program was introduced at the National University of Singapore (NUS). The Center collaborates with over 40 different external partner organizations in Asia-Pacific with which all MSBA students undertake individual projects. Business Analytics: Progress on Applications in Asia Pacific provides a useful picture of the maturity of the Business Analytics domain in Asia Pacific.
For more information about the Business Analytics Center at NUS, visit the website at: http://msba.nus.edu/
Contents:- Leveraging of Big Data from Manufacturing Facilities to Create New Business Insights (Gemma Braganza)
- Price Erosion and Sales Volume Analysis of China Smart-Phone Market (LIN Fangbin)
- Heavy Maintenance Profitability Yield Analysis (CHAI Chin Leong)
- Supply Chain Analytics (LEE Zhi Hui, Alvin)
- Storage Technologies for Data Reservoir (Balaji Rajamani)
- Visualization Tools Assessment and Sustainability Analytics (HUANG Wenchang Alison)
- Application of Analytics in Improving Efficiency of Transaction Surveillance (CHAN Chung Ying)
- Predicting Five Year Revenues for Banking Cash Management (LEE Seng Yin Daniel)
- Big Data Analytics: Implications for an International Reinsurer (LIANG Fang-Yu)
- Consumer Behavior for Credit Card Campaigns (Guillaume Soule)
- Exploring Accuracy and Efficiency of Preventive Maintenance Prediction with Machine Learning Techniques (LIM Wei Bin Kelvin)
- Estimation of Queue Length and Analysis of Reneging Effects in a Bank Branch Setting (Puneet Goyal)
- Customer Insights for Insurance Companies (Shishir Jain)
- Establishing the Liquidity Profile of Non-Maturity Demand Products (Vijayalakshmi Mulakalapalli)
- Finance Net-Interest Margin Analysis with Qlikview (ZHENG Arthur)
- Online Visitor Classification and Unified Creation with Clickstream Data (Gopala Raju)
- Business Analytics for Price Optimization (CHUA Hui Xiang)
- Skin Care Product Aggregator (Gong Yan)
- Study on Factors Associated with Bounce Rates on Consumer Product Websites (SNG Yun Fei)
- Personalised Knowledge-Based Recommender System for Travel Planning (LI Yiwang Linus)
- A Model for Sales Forecasting and Stock Management (Tom Stephens)
- Business Analytics in Airport Operations for Improved Customer Experience (Himanshu Jaggi)
- Profiling of Train Station Staff to Improve Customer Experience (ONG Pei Sin)
- Data Mapping and Financial Dashboards (WONG Ai Wen)
- Procurement Demand Aggregation (CHEW Tze Hoong)
- Understanding Buffett Indicators in Different Industries (WU Keyuan)
- On the Possibility of Arbitrage Around Announcements (Karthik Narayan Pasupathy)
- Application of Predictive Analytics to Stock Price Directional Volatility and Direction (BOO See Yang)
- Profiling of Patient Waiting Times at Hospital Outpatient Pharmarcy (LIM You Seng Eric)
- Automated Analytics Process — The Next Stage of Competition on Analytics (LU John Jian An)
- Discovering Actionable Insights from Online Reviews Using Unstructured Content Analytics (JI Jun Yao)
- Knowledge Discovery on Unstructured Data (LIANG Nanxing, Ethan)
Readership: Postgraduate students taking Business Analytics as a specialization or an elective module in their Business Management studies.