Can I Use A Flow To Update An Excel Sheet 3 Ways to Use VBA for Data Analytics Projects

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3 Ways to Use VBA for Data Analytics Projects

Any professional in the IT services industry knows how important it is to be able to work with multiple tools at the same time. More often than not, project workflows are designed to run sequentially, with the outputs from one stage used as inputs from the next until the final outputs are produced. This is also the case with projects within data analysis projects. VBA is a component commonly used to create the final analytics reports that are run as part of the data transformation process. VBA has many applications, but below are aspects specific to data analysis projects.

1. Automation – This is probably the most obvious application for VBA. Since most reports are based on Excel sheets, it allows you to automate repetitive tasks using VBA macros. VBA provides two ways to create automation modules. First, it allows users to record the actions performed on the screen and automatically generates the corresponding code that the user can save. Another way would be to actually write scripts from scratch. This approach is more appropriate when the tasks to be performed are complex. You can create simple tasks just by recording and saving the code generated in the background.

2. Application development – VBA allows teams to create solutions that are almost indistinguishable from applications built on a dedicated IDE. Of course. Many companies use VBA in combination with other Microsoft technologies such as C# to create proprietary solutions. It is an extremely cost-effective way to implement solutions to meet the internal needs of the company without having to engage an external contractor.

3. Extensibility – Although this is a feature that may fall under automation, it is worth mentioning exclusively. VBA is extremely extensible. This means that just like any other programming language used for application development, it allows users to create new modules as and when needed. This is achieved by creating additional modules within the same project. This is a very powerful feature for an investment. Thus, it allows teams to incorporate new aspects of automation as and when needed, even in an ongoing long-term analytics program.

Of course, VBA can never be implemented without a proper data transformation infrastructure. It is recommended that VBA not be used to automate tasks related to data transformation, because such steps require intervention at various points, which would be difficult to include in automation. However, once the data has been processed through, say, Audit Command Language scripts or SAS scripts, it’s open season to use VBA appropriately.

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