Increasing Your Data Quality

Introduction

Ensuring high data quality is crucial for effective enterprise architecture management in SAP LeanIX. SAP LeanIX offers several features to help maintain and improve the quality and completeness of your data. These include fact sheet completeness, fact sheet subscriptions, mandatory fields, quality seals, surveys, the reference catalog, discoveries, and integrations. Here’s an overview of how to leverage these features to improve data quality

Fact Sheet Completion Score

The fact sheet completion score measures how much of the required data has been filled out for a fact sheet. It helps you identify which fact sheets are well-completed and which ones need more information, ensuring data accuracy and completeness.

The score is based on the weights assigned to each field, subsection, and section. Higher weights indicate greater importance, meaning that completing those fields or subsections will have a more significant impact on the score.

The completion score is displayed in the fact sheet’s header, reflecting the extent to which all required fields, subsections, and sections are completed based on the configured weights.

For a detailed guide, see Fact Sheet Completeness.

Fact Sheet Subscription

Fact sheet subscription is a mechanism for assigning responsibility and accountability to users for maintaining fact sheet data. It specifies who is responsible for each fact sheet and helps ensure that the right individuals are accountable for keeping the data accurate and current.

Users can be assigned to fact sheets, or users can subscribe themselves, selecting the appropriate subscription type and role. When there are changes in a fact sheet, subscribers receive notifications, enabling them to take necessary actions, such as updating fact sheet info, approving the quality seal, and so on.

For a detailed guide, see Fact Sheet Subscription.

Quality Seal

The quality seal is a mechanism to ensure the overall integrity and quality of data on fact sheets. It assigns accountability to the responsible or accountable subscribers to approve the quality of a fact sheet whenever other users make any changes to it.

When the quality seal is broken, it triggers a Check needed status at the top of the fact sheet, prompting the responsible individual to verify the data and approve the quality seal. The quality seal can also be manually broken if necessary, indicating that the information on the fact sheet needs to be reviewed or updated. This feature ensures that any changes made to a fact sheet are verified for accuracy and completeness.

For a detailed guide, see Quality Seal.

Mandatory Attributes

Mandatory attributes are essential fields specified by admins to ensure data integrity and quality in fact sheets. These attributes must be filled out before a fact sheet’s quality seal can be approved. Admins can define which attributes are mandatory for each fact sheet type. These can include fields, relations, tag groups, and subscription roles and types.

When mandatory attributes are defined, any newly created fact sheets must have all these attributes filled before their quality seal can be approved. This helps maintain data integrity and reliability, ensuring that fact sheets meet the necessary standards. These mandatory attributes appear listed on the right-side panel of the fact sheet until the quality seal is approved, with checkboxes indicating whether they are filled or not.

For a detailed guide, see Mandatory Attributes.

Surveys

Surveys provide a collaborative way to gather information from multiple stakeholders efficiently. Collected data can be directly integrated into relevant fact sheets, helping you maintain high data quality without being burdened with manual data management.

Surveys provide a means to collect information in a structured way, allowing for easy assessment, progress tracking, and ensuring data accuracy. Admins can create and manage surveys, and they also have the option to grant non-admins permission to do so.

Surveys requiring your response are found in the Collaboration tab of the workspace and also in the Surveys tab of the relevant fact sheet. Additionally, the My Surveys panel on the dashboard provides a centralized location to quickly find and respond to surveys.

For a detailed guide, see Surveys.

Reference Catalog

To enhance data quality, you can use the reference catalog that offers reference data and best-practice recommendations for business capabilities, applications, IT components, and tech categories. By implementing reference data and synchronizing information from the catalog, you can streamline the setup and maintenance of your inventory. Automatic synchronization not only ensures that your data remains current and consistent, but also optimizes your workflows by reducing manual updates.

For a detailed guide, see Reference Catalog.

Discoveries and Integrations

You can enhance data quality using SAP LeanIX’s various integrations and discovery features. Out-of-the-box integrations with systems like SAP Signavio, ServiceNow, Collibra, etc., automatically import and update data, such as business processes, technology stacks, data objects, and more. These integrations ensure real-time updates and keep your inventory current.

The SaaS discovery feature simplifies the identification and management of your organization’s SaaS applications through integrations with systems like SSO, SASE, and CASB. It allows you to automatically or manually link discovered SaaS applications to existing or new fact sheets, enriching them with data from the reference catalog.

Similarly, SAP landscape discovery automates the gathering of data from your SAP systems, providing a comprehensive view of your SAP landscape. By linking discovered SAP items to fact sheets, you can ensure that related catalog information is automatically updated to fact sheets.

For a detailed guide, see Discoveries and Integrations.