We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We describe visual perception principles and then apply those principles to create effective visualizations. In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. In the second section of the course, we emphasize the importance of assembling data. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics. In the first section, we bridge accountancy to analytics. We’ve divided the course into three main sections. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.
A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. (where my main class is TableauSDKSample) By doing this, I avoid setting LD_LIBRARY_PATH
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