Learn about the built-in Data Cropping Tool available in Flows.
This article contains the following sections:
- What is the Data Cropping Tool and what does it do?
- What challenges does the Data Cropping tool address?
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How to Access and Apply the Data Cropping Tool to Your Flows
What is the Data Cropping tool and what does it do?
The Data Cropping tool allows you to extract specific portions of data from strings, which can be useful when dealing with long text fields or structured data. You can set starting and ending positions to isolate the part of the string you need.
This tool is ideal for cases like trimming unnecessary details, extracting key information from larger datasets, or formatting data for downstream actions.
What challenges does the Data Cropping tool address?
Managing large datasets can be overwhelming, especially when they contain redundant or irrelevant information. The Data Cropping Tool solves this problem by giving you the ability to refine your data, removing unnecessary sections before processing.
This can be especially beneficial in automating workflows where only a subset of data is relevant to the action being performed.
Key challenges it addresses:
- Data overload: Allows you to eliminate non-essential data points.
- Streamlined processing: Reduces processing time by cropping data down to key parts.
- Data accuracy: Ensures only the relevant data gets passed through workflows, improving accuracy.
How to Access and Apply the Data Cropping Tool to Your Flows
After selecting the Flow where you want to utilize the Aggregator Tool, identify the specific steps within the Flow that require the application of your desired conditions.
You can then add a Tool by clicking on the "+" button underneath each necessary step. Clicking the "Tool" option will allow you to select from a range of different tools Flows offers, including the Aggregator Tool.
