IT Service Management: ServiceNow, Spider
Business Process Management: ARIS
Data Privacy: 2B Advice PrIME, OneTrust, Nymity
Project/Portfolio Management: PlanView
Technical Integrations: Active Directory, SharePoint, SAP
further systems on request
LeanIX Automation Platform
Data Quality Management
Get insights on data completeness per organization.
Reporting formats: Mail, PowerPoint
Quality KPIs and metrics can be defined arbitrarily
Quality Gap Reminder
Detects quality issues and informs the responsible persons automatically via e-mail, asking them to close the gaps.
Asks managers to review their portfolio, e.g. their application list, and to check all responsibilities and lifecycle status.
Defend your data quality on operational level by avoiding orphaned fact sheets and keeping data consistency at a maximum.
If a user creates a fact sheet, this user is subscribed automatically as 'Responsible'.
Tags, relations, values and ACLs can be automatically assigned or deleted based on arbitrary conditions or rules.
You receive an e-mail alert if somebody removes themselves from a subscription.
You receive an e-mail alert if somebody archives a fact sheet.
Lightning-fast development of integrations, reports and scripting logic.
Native access to the entire LeanIX data model without having to code any API calls
Automatically detects your LeanIX meta model and builds all classes and methods accordingly
Handles authentication, proxy settings, API paging, fact sheet caching, logging/debugging, error handling and error retry, request simulation
# Load all fact sheets
applications = Application .all()
# Get fact sheet by name
"Acme Holding SE"
# Follow relations of a fact sheet
# Helpers for tags and attributes
user_group [ "location" ][ "geoCountry" ]
if "Holding" in user_group [ "tags" ][ "Company" ] ...
Use your browser to run any Python script in the context of your LeanIX workspace, without installing anything on your machine. An API token is all you need, examples are included.