Description

This course aims to provide students with the skills most highly valued by today’s employers to manage transformational change. This course includes the use of data-driven, evidence-based approaches - from a business not technical point of view- to support decision-making in different business levels and functions. This course introduces students with practical implementation of data analysis to take complex decision-making and reduce uncertainties. It equips students with business analytics tools and techniques to permit the optimum utilization of data and information to create added-value to the organization. Additionally, this course trains students to visualize and interpret data through the usage of MS Excel application. By the end of this course, students will be able to interpret business analysis information to continuously monitor and improve the organisation agility, build learning organisations and enhance decision-making processes. Furthermore, it permits students to define sweet spots to create a self-sustainable competitive advantage.

Program

MBA

Objectives

• By the end of this course, each student should be able to: • Identify different types of business data, Data Science and Big Data and related analytical tools from a business not a technical point of view. • Understand the business analytics processes (e.g., collect, store, analyze, visualize and deliver data). • Understand how to generate information to support specific decision-making processes. • Evaluate the organizational capabilities to build a business analytics center. • Analyze business analytics strategies and innovative decision support systems. • Deal with business analytics strategies implementation issues and barriers. • Design a business analytics center to create a self-sustainable competitive advantage. • Apply business analytics processes to efficiently and effectively optimize its business processes. • Use and interpret the MS Excel application to support decision-making across organization.