Mastering Business Analytics: The real MBA for career success, Step-by-Step
ISA-1 Presupposes NO formal business education. It provides an intensive economics-grounded understanding of accounting concepts, accounting terminology, finance, and financial methods. Marketing and operations topics and concepts are introduced (JIT) to assure that students understand precisely how what they’re learning relates to how the overall business actually functions.
The analytical approach stresses perturbation and deterministic methods. Limited use of Access as a statistics-support ETL front-end to Excel is introduced — infinitely more useful than 1 million-row spreadsheets! — in anticipation of later real-world datasets.
Support topics, e.g., statistics, are introduced / reviewed as necessary and any ancillary software is provided. As with ISA-2, key topical coverage includes: macro-economics, micro-economics, financial accounting, managerial accounting, managerial finance, corporate finance, managerial marketing, operations management, and statistics.
The material is presented in Office 2003 on WinServer 2003. Students are expected to have Solver loaded as an Excel add-in, along with MS Query and the other FrontLine Systems add-ins.
You will start learning to make effective presentations from the start of day one. You will continue working on these skills throughout your involvment with ISA. You'll find that it is the one skill for which "good enough" is NEVER good enough.
ISA-2 Delves deeper into financial concepts and their economic underpinnings to expand financial literacy. Appropriately, the models become more sophisticated, including fairly complex cross-functional (e.g., finance & marketing) analyses.
Quantitatively, the module builds a deeper understanding of deterministic modeling, while extending abilities considerably with probabilistic concepts and methods. So, instead of merely being able to respond in real-time to virtually any form of, "What if," question, students selectively reduce model rigidity (and brittleness) by replacing fixed mathematical drivers with appropriate probability distributions.
As real-world datasets tend to be large, we continue some use of Access as a SQL intermediary for Excel. (Note: We do more with large datasets in the advanced modules in finance, marketing, statistics, and SPSS. Our focus, here, is more introduction than "practice.")
As in ISA-1, ancillary topics, e.g., probability, are introduced / reviewed as necessary and requisite ancillary software provided. ISA-2 requires ISA-1.