Leveraging Big Data for Public Accounting

Author: Stephen M. Yoss

The Financial world runs on massive amounts of data. But have you ever wondered what else you could do with all the data at your fingertips? Big Data Analysis helps you uncover trends, patterns, and correlations that can be used to help you make decisions. It can help you find the needle in the haystack or the golden ticket that can help you build a new competitive advantage or grow your organization. In this course, we will outline how to use the data you already have to make informed decisions that will help your organization understand your current clients and reach new potential clients. We will compare the various tools out there to help you get started with big data analytics and help you interpret their results.

Publication Date: October 2022

Designed For
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Topics Covered

• Outline how to use the data you already have to make informed decisions
• Compare the various tools out there to help you get started with big data analytics and help you interpret their results
• Discover your organization's needle in a haystack or golden ticket opportunities for growth from data reports
• Compare data analysis tools and assess which tools will be effective for your organization's operations
• Public data sets and resources which can be used in conjunction with organizational data to provide better insight and context to operations

Learning Objectives

• Describe Big Data Analytics and the processes for data mining from the role of the financial professional
• Recognize how to compare various organizational data sets from accounting, operational, sales & Marketing using today's best reporting tools
• Identify your organization's needle in a haystack or golden ticket opportunities for growth from data reports
• Recognize how to compare data analysis tools and assess which tools will be effective for your organization's operations
• Identify public data sets and resources which can be used in conjunction with organizational data to provide better insight and context to operations
• Recognize by what year is it estimated that 10MB of data will be created every second for every person on earth
• Identify the percentage of enterprises that say that data is essential to business growth
• Identify the most common method of ID theft these days
• Identify a characteristic of a Data Lake vs. a Data Warehouse
• Identify the type of analytic that answers the question of "why did it happen?"

Level
Basic

Instructional Method
Self-Study

NASBA Field of Study
Information Technology (2 hours)

Program Prerequisites
None

Advance Preparation
None