Overview
Welcome to analytics and big data for accountants
Traditional accounting is giving way to a hybrid of accounting, and analytics has been the driving force. Tools have been created to measure program effects and return on investment, visualize data and business processes, and uncover the relationship between key performance indicators — many using the unprecedented amount of data now moving into organizations. In this course, you will discuss leadingedge topics in analytics and finance in a session that is packed with useful tips and practical guidance that you can apply immediately.
Introductory comments
The accountant role will continue its migration from data creator, manipulator, and archivist to one of data scientist and storyteller. It is imperative that the accountant of today keep pace with technological change and recognize the need to move from historical analysis to predictive change and ultimately, prescriptive change.
It’s against this backdrop that the advent of big data and analytics has already affected many organizations and will play a much more significant role in the future.
Topics discussed
- Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects
- Relating data to return on investment, financial values, and executive decision-making
- Data sources including surveys, interviews, customer satisfaction, engagement, and operational data
- Visualizing and presenting complex results
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