Enhance your understanding of data sources and learn how to identify and collect the right data to meet the objectives of your data analytics project. Identify the sources of data Once you have established the need for specific data, understanding where to get that data becomes the next step. You’ll learn to identify where to find necessary data and what steps need to be taken to obtain it. Collect the data Learn how specific tools can help you get data from the source to a staging area for further data cleansing or manipulation. Ensure data integrity By understanding the processes, tools, and risks of data profiling and collection, you’ll also learn to ensure the integrity of your data analysis process, how to carry out an accurate and trusted decision-making process, and in doing so, protect your organization’s reputation. Real-world examples This course is tailored specifically to accounting and finance professionals. It uses a mixture of real-world examples and case studies relevant to your role to give you different ways to understand and apply knowledge learned throughout the course. This course is part two of the four-part Data Processing and Analysis Certificate. Who Will Benefit - AICPA & CIMA members who want to identify and collect data in preparation for analysis - Global accounting and finance professionals - Controllers - Finance directors - CFOs - CPAs Key Topics - Understanding the role of data profiling and collection in a data analytics project - Understanding sources of data - How to profile and collect the right data - Understanding the associated risks and considerations - How to transform data Learning Outcomes - Recognize the role of data profiling and collection within data analytics and the extract, transform, and load (ETL) process. - Recall how to profile data based on the objective of a data analytics project. - Recall the key steps for gathering data identified during profiling and anticipating issues and considerations within the data collection process. - Recognize risks and considerations for data profiling and collection.