How should you organize data points into Records after identifying them?

Organizing data points into Records based on a logical grouping of related data is crucial for creating a well-structured and efficient data model in Appian. Logical grouping ensures that related data is kept together, making it easier to retrieve and manipulate as needed. This approach allows developers to define the relationships between data points clearly, thereby enhancing the overall usability of the Records.

By structuring Records in this manner, it becomes easier for users to understand the context of the data, perform searches, and develop applications that rely on these Records. Logical grouping encapsulates all relevant information within a specific Record, which can facilitate better data management and reduce the likelihood of errors when dealing with disparate data points.

In contrast, organizing data points in alphabetical order does not inherently provide any meaningful insight into the relationships among the data. Similarly, arranging data by field value type would not effectively reflect how the data is used in relation to each other. Using a single data type might limit the diversity and complexity necessary for representing the data accurately, undermining the potential for leveraging multiple aspects of the information at hand. Therefore, logical grouping is the most effective method for organizing data points into Records.