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Consistency Checks

Mandatory Field Checks and Consistency Checks for SAP Cloud ALM with pony

With pony, you can validate native SAP Cloud ALM fields and customer-specific attributes directly in the SAP Cloud ALM process. Mandatory information, attribute combinations and status changes can be validated through configurable rules – for better data quality, process reliability and future auditability.

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Background

Why data quality in SAP Cloud ALM needs to be checked early

In SAP transformation projects, complete and consistent information is essential. If important required information in SAP Cloud ALM is not checked directly in the process, gaps often only become visible later in reporting, audits or downstream processes.

A typical example is a requirement where information such as scope, company code or a functional classification is needed for the next process steps. If this information is only checked afterwards, manual rework is required. pony moves these checks directly into the workflow.

Solution with pony

Consistency checks directly in SAP Cloud ALM

With pony, additional mandatory field checks and consistency checks can be configured directly in SAP Cloud ALM. Companies can define which native SAP Cloud ALM fields and which customer-specific attributes need to be checked and when.

The checks can apply to individual mandatory fields, attribute combinations or status changes. Depending on the rule configuration, pony can show missing or inconsistent information directly in the SAP Cloud ALM UI, secure save actions or block status changes until the defined requirements are met.

Benefits

What pony delivers for mandatory field checks and consistency checks

Validate mandatory fields

Native SAP Cloud ALM fields and customer-specific attributes can be checked as required information.

Validate attribute combinations

Rules can check dependencies between fields, for example “Change Type = Urgent” and a required justification.

Secure status changes

Status changes can be linked to complete information before the next process step is continued.

Control rules by context

Checks can be configured based on project, workstream, status or other conditions. Rules can also be restricted to specific roles if checks should not apply equally to all user groups.

Support auditability

Relevant information is maintained early and traceably before it is needed later in reporting, audits or downstream processes.

SAP Cloud ALM areas

For Requirements, User Stories and Features

Mandatory field checks and consistency checks with pony are currently available for Requirements, User Stories and Features in SAP Cloud ALM. The checks apply directly where users maintain the respective content.

RoadmapSupport for additional SAP Cloud ALM areas is planned. This includes test cases, test plans, processes and documents.
Regulated environments

Validation rules for regulated requirements

In regulated environments, special legal and regulatory requirements apply to help assess and ensure product quality, risks and the impact of software changes. Examples include the pharmaceutical industry, medical technology, the healthcare sector and other industries with increased requirements for traceability and auditability.

With pony, validation rules can be executed based on customer-specific attributes. For example, companies can ensure that all required information is maintained for GxP-relevant requirements before the process continues.

This helps companies embed data quality, process reliability and future auditability directly in SAP Cloud ALM.

Use cases

Typical use cases

Secure urgent changes

If Change Type = Urgent, pony can check whether a justification has been maintained.

Status changes only with complete data

A Feature can only move to a defined status if the required information has been maintained completely.

Project and workstream rules

Validation rules can be applied differently depending on project or workstream.

Auditability in regulated environments

Required information can be checked early in the process before it is needed later in reporting, audits or downstream processes.

Practical video

Use and configure consistency checks in SAP Cloud ALM

In the video, we show how consistency checks and mandatory field checks with pony work from a user perspective and how the rules are configured.

Configuration

Configure validation rules without development

Mandatory field checks and consistency checks are configured in pony. Companies can define what should be checked, when the check should apply and which user groups it is relevant for.

This means validation rules are not hard-coded, but can be flexibly adapted to project methodology, governance requirements and specific customer scenarios.

SAP Community

More details in the SAP Community Blog

A detailed description of how mandatory field checks and consistency checks with pony are used and configured in SAP Cloud ALM will be published soon in the SAP Community Blog.

Blog coming soon
FAQ

Frequently asked questions about mandatory field checks and consistency checks

Mandatory field checks ensure that defined information is maintained before a process step continues. With pony, companies can configure additional mandatory field checks directly in SAP Cloud ALM – for both native SAP Cloud ALM fields and customer-specific attributes.

Consistency checks validate whether information in SAP Cloud ALM is complete, plausible and methodically consistent. With pony, these checks can be executed directly in the workflow, for example when saving or during status changes.

Yes. pony can validate both native SAP Cloud ALM fields and customer-specific attributes. This allows companies to include existing fields and individually added information in common validation rules.

Yes. Customer-specific attributes provided in SAP Cloud ALM with pony can also be used in mandatory field checks and consistency checks. This makes it possible to define validation rules based on customer-specific information.

Yes. With pony, validation rules can also consider attribute combinations. For example, pony can check whether a justification has been maintained for “Change Type = Urgent” or whether all required information is available for GxP-relevant requirements.

Yes. pony can link status changes in SAP Cloud ALM to defined conditions. For example, a status change can only be allowed if the required information has been maintained completely.

Mandatory field checks and consistency checks with pony are currently available for Requirements, User Stories and Features. Support for additional areas such as test cases, test plans, processes and documents is planned.

Yes. With pony, validation rules can be configured based on project, workstream, status or other conditions. This allows different governance requirements to be implemented within one SAP Cloud ALM tenant.

pony supports auditability and data quality by checking relevant information early in the process. Missing or inconsistent information can be made visible before it causes issues later in reporting, audits or downstream processes.

No. Mandatory field checks and consistency checks are configured in pony. Companies can define rules without development and adapt them to their project methodology, governance requirements and customer scenarios.

Mandatory field checks and consistency checks in SAP Cloud ALM – get started now

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