Business Analytics is an emerging area in modern business decision making for business managers and executives and management students who want to understand more about various trends and in-depth analysis of business patterns. Many organizations are using analytics strategically to make better decisions and improve customer and shareholder value.
In this age of Innovative Technology, successful companies use the massive amount of data as a vital resource for decision making in various processes. These knowledge’s will enable students to provide up to date analysis at different roles.
Business Analytics is a data driven decision making approach that uses statistical and quantitative analysis, information technology, management science (mathematical modelling, simulation, fact-based data to measure past business performance to guide an organization in business planning, predicting the future outcomes, and effective decision making with the help of forecasting and predictive modelling.
To offering an up-to-date exploration of key issues relating the future of analytics, the subject describes the options available in deploying analytic solutions to the cloud and draws on real time requirement of competitive business world. Combining academic and practical perspectives that are crucial to the understanding of this growing field. Business Analytics acts ideal core area MBA graduates enables next generation of ‘Information Builders’ to understand innovative analytic solutions.
Planning Analytics is a financial planning, budgeting and forecasting solution that promotes effortless collaboration and helps businesses drive faster, more accurate results. In recent years, the term business analytics has been promoted by software vendors, service providers, technology developers and consulting firms. These promotion efforts have focused predominantly on technological capabilities and examples of the benefits derived from using such systems.
Aim: The course enables to interpret data as well as projects and tasks that are based on real-life case studies rather than theoretical assumptions. The emphasis of the course lies on Forecasting, Time Series Analysis, and Econometrics to facilitate prediction of potential results on the basis of historical patterns
Learning Outcome: Enable all participants to recognise, understand and apply the language, theory and models of the field of business analytics. Foster an ability to critically analyse, synthesise and solve complex unstructured business problems.
