Table of contents

• Introduction
• The value of fields
  • Standardize Data:
  • Support Content Control:
  • Enhance Reporting and Analysis:
  • Enable Flexibility and Customization:
• Fields in the application

Introduction

Fields in ILAP Analytics play a vital role in defining, collecting, and preserving key properties of schedules and activities. By structuring data around fields, the platform ensures consistency, control, and flexibility in managing schedule information. 

The value of fields

Fields are individual data points or attributes that capture essential properties of both schedules and the activities they contain. They are the building blocks of schedule and activity data, serving multiple important purposes:

1. Standardize Data:

   • Provide a structured approach to organizing schedule and activity information, improving clarity and consistency.

   • Use ILAP terms to align data with industry standards.
     
     

2. Support Content Control:

   • Ensure incoming schedules meet predefined requirements by validating fields against rules and constraints.

   • Facilitate error-checking and maintain data integrity.
     
     

3. Enhance Reporting and Analysis:

   • Serve as the basis for reporting, calculations, and insights by capturing granular details about schedules and activities.
     
     

4. Enable Flexibility and Customization:

   • Allow organizations to define which fields are required for specific schedule types, ensuring that data collection aligns with unique needs.

Fields in the application

The most important characteristics of a field are the “Used by” (activity of schedule) and the field type. If the field type is “List”, the field also contains a list of valid values.