Master Data and Workflow Application

Master Data Application and Workflow Application

In Hubler, two essential categories of applications are commonly employed to address distinct needs within various scenarios: Master Data Applications and Workflow Applications. Each serves a unique purpose and plays a crucial role in managing data and processes efficiently.

Master Data Application:

A Master Data Application within Hubler can be likened to a robust database. It serves as the centralized repository where all pertinent data related to a specific scenario is securely stored. Consider scenarios like customer onboarding or store onboarding; these processes often involve multiple steps and a user interface (UI) for data entry.

However, once the onboarding process is complete, the critical data acquired during these steps needs to be preserved and accessible in a structured format. This is where the Master Data Application comes into play. Its primary function is to store data in a flat format, ensuring that information can be easily extracted, updated, or queried whenever required.

The development workflow for a Master Data Application largely resembles that of any other application. The key difference lies in the selection of the application classification. When creating an application, you have the option to specify it as a "master data application."

Best Practices for Master Data Applications:

When building a Master Data Application, simplicity is paramount. It's crucial to ensure that the application design adheres to a few key principles:

1. No Repeating Fields: Avoid incorporating repeating fields or arrays within a single record. Data should be organized in a clear, non-repetitive manner.

2. Single Stage: Master Data Applications typically do not involve multiple stages or complex workflows. Keeping the application workflow straightforward ensures that it serves its intended purpose effectively.

Workflow Application:

On the other hand, Workflow Applications in Hubler are designed to manage multi-step, process-driven tasks. Unlike Master Data Applications, Workflow Applications are suited for scenarios where data needs to progress through various stages, approvals, or actions. These applications are instrumental in orchestrating and automating complex business processes.

Key Distinction:

While Master Data Applications focus on data storage and retrieval in a structured format, Workflow Applications emphasize process automation and the management of tasks across multiple stages.

In conclusion, both Master Data Applications and Workflow Applications are indispensable tools in Hubler, serving different aspects of data management and process automation. Understanding the distinct roles and best practices for each application type is essential to leverage Hubler's capabilities effectively in various scenarios.