Enterprise Processes Analytics

AY2015/2016 Semester 2

In today's global and digital business environment, the enterprise analytics challenge is growing, because companies are dealing with steadily escalating volumes of data. The access to such analytics capability is often hampered by the problem of data silos, in which data for different departments, divisions, product lines, etc., is stored and managed differently. Enterprise Systems are major investments that seek to minimize such problems. They form the backbone of organizations? business processes and hold the key to unlock strategic data assets within the firms. This course is designed to provide an overview to enterprise systems, primarily covering the range of embedded ?best practice? business processes (e.g., order-to-cash, procure-to-pay, production planning and execution, accounting) and the related data that needs to be carefully managed. Our objective is to develop an application consulting perspective among the students that is sensitive to managerial issues in assessing, configuring, and managing the radical implementation of enterprise systems and using the insights from such enterprise systems. A specific emphasis is on the extraction, manipulation, and exploitation of such enterprise data to optimize processes, decisions, and business performance. This is particularly pertinent as many organizations do not have just one enterprise system but also other systems where the other databases are kept (e.g., spreadsheets, vendor databases, legacy systems, web data). The course places a dual emphasis on both conceptual learning (through student-led presentations and business case discussions on enterprise analytics) and practical exposures to enterprise systems (through heavy hands-on lab on SAP and data analytics tools). Students should acquire a sound entry-level grounding in the ERP software, for them to work towards an industry accredited SAP TERP10 certification if they are interested.