Quantitative Methods for Business
Description:
The understanding of any enterprise and the basis for many decisions revolves around the basic understanding of the data involved. The acquisition, analysis, aggregation, presentation and interpretation of data are crucial to the effective and efficient running of the enterprise. Whether the purpose is operational performance, enterprise performance, financial analysis, competitive analysis, strategic direction setting or data for outside decision making of partners and customers the delivery of that data links the success of the business with the management. Understanding the basis and impact of decisions is crucial to improving enterprise performance.
This course is intended for people who want to put the ideas and concepts of data analysis and interpretation into effective use in their enterprise. Concepts of corporate measures such as critical success factors, key performance indicators and sensitivity analysis are also covered.
Further, the methods needed to make these ideas practical are discussed in exercises. Concepts such as measures development, statistical interpretations, strategic data analysis, business intelligence and scenarios are discussed along with newer techniques such as tornado diagrams for sensitivity and text mining. Techniques such as decision mapping are introduced as the context for decision-making and measures.
