Project 2 - Create a report using PowerQuery, Macro VBA, List Functions and Data Validation functions for Data Reporting of Supply Chain Management companies
Aim:
The aim of this report is to use PowerQuery, Macro VBA, List Functions, and Data Validation Functions to create a comprehensive data reporting solution for Supply Chain Management companies.
Description:
The supply chain management companies deal with a vast amount of data on a daily basis, including inventory levels, order processing, shipping details, and customer information. Therefore, the data reporting system must be efficient, accurate, and easy to use. This report proposes the use of PowerQuery, Macro VBA, List Functions, and Data Validation Functions to create a powerful data reporting solution that can analyze and present data in a meaningful way.
PowerQuery:
PowerQuery is a tool that enables users to extract, transform, and load data from various sources, including databases, spreadsheets, and web services. This tool is essential for creating a data reporting system that is capable of analyzing data from multiple sources.
Macro VBA:
Macro VBA is a programming language used in Microsoft Excel to automate tasks and create customized functions. By using Macro VBA, we can create functions that can perform complex calculations and generate reports automatically.
List Functions:
List Functions are used to manage data in lists or tables. These functions enable us to filter, sort, and aggregate data, making it easier to analyze and present data.
Data Validation Functions:
Data Validation Functions are used to ensure data accuracy by restricting data entry to a predefined set of values or rules. These functions can be used to prevent errors and ensure data consistency.
Conclusion:
By combining the above tools and functions, we can create a powerful data reporting system that is capable of analyzing data from multiple sources, performing complex calculations, and generating reports automatically. This solution can help Supply Chain Management companies to make data-driven decisions and improve their operations.
