Objective of the request

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In many entities, information is maintained by different roles and teams. Currently, this information is often in a common structure, which creates several problems:

Users see fields that aren't relevant to their work

Fields can be changed by mistake

Clarity suffers

Responsibilities for data are not clearly separated

The aim of this requirement is therefore to divide entities into logically separated areas (sections), which can each be provided with their own access rights.

Structured areas within an entity

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Within an entity, it should be possible to define various areas, such as:

master data

process information

Risk analysis

Business Impact Analysis (BIA)

Compliance information

These areas combine thematically related fields.

This makes the structure of an entity much clearer and easier to adapt to different usage scenarios.

Role-based access control to areas

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It should be configurable for each area:

Who can see the information

Who can edit the information

This allows different teams to maintain different parts of an entity without having access to all fields.

Use case: processes

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One specific use case concerns the maintenance of process information.

In our case, information about processes is maintained by different roles:

Product teams or departments maintain basic process information

Agents or risk owners maintain risk scores and assessments

The risk scores are maintained by the agents and are sometimes calculated automatically, while basic information comes from other teams.

Separate areas with appropriate authorizations can prevent data from being accidentally overwritten or changed.

Use Case: Business Impact Analysis (BIA)

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Another problem occurs when carrying out a business impact analysis (BIA).

When editing a BIA, users only want to see and edit the relevant fields.

Currently, it often happens that users “stumble” across other fields of the entity while editing and may accidentally change them.

Separate areas with appropriate authorizations or editing views could focus on the actually relevant information.

Validation and data quality

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In addition, it should be possible to clearly identify:

Which fields are not filled

Which fields contain incorrect or incomplete data

Ideally, this should be visually emphasized, for example by:

Status indicators per area

Marking mandatory fields

Validation when saving

This makes it easy to see whether an entity has been fully maintained or whether information is still missing.

Expected added value

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This feature would provide several benefits:

better structuring of complex entities

clear separation of responsibilities for data

reduced risk of unintended changes

focused processing of specific tasks (e.g. BIA or risk analysis)

better data quality through visible validation and completeness verification