Accounting Analytics

Overview

GSA Competencies and Levels

Data Management: L4, L5

The science of analyzing raw data in order to make conclusions about that information. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. The presentation of data in pictorial or graphical format. Data management enables decision makers to see analytics presented clearly, so they can grasp difficult concepts or identify new patterns.

Source: OPM MOSAIC Competencies

Robotic Process Automation: L4, L5

Robotic process automation (RPA) refers to software that can be easily implemented to replace/perform basic, repetitive tasks across software applications. It is designed primarily to replace office-type functions (e.g. processing transactions, gathering and integrating data, responding to inquiries). RPA works like an intelligent digital assistant, doing routine onerous computer-based tasks that would otherwise “eat up” employees' time – thereby freeing employees to work on higher value activities. Employees should understand RPA, where it may be employed, how to implement it, gain experience using it, and share their knowledge among the workforce.

Source: None

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This course presents advanced topics in analytics used in business professions. The course focuses on the development of skills required to analyze data captured in enterprise resource planning (ERP) systems – the type of data most often used by business professionals – and the exploration and presentation of data for decision-making. The topics include a continuation of business process knowledge and advanced skills in data visualization and analysis. Emerging issues in business are also introduced, such as blockchain technology and distributed databases and ledgers.