2. Data Preparation and Integration

Module Description

Module 2: Data Preparation and Integration focuses on the critical role of data preparation and integration in automation and AI applications within finance. Participants will learn essential data preparation techniques, including automating data collection from ERP systems, spreadsheets, and other sources. The module covers best practices for cleaning and transforming data using tools like KNIME, as well as integrating data from multiple sources with SPSS and SAS. Through hands-on exercises, participants will practice data collection, cleaning, and integration, gaining practical experience in preparing financial data for analysis using KNIME, SPSS, and SAS.