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Release notes
OverviewRelease v3.8Release v3.7Release v3.6Release v3.5Release v3.4Release v3.3Release v3.2Release v3.0Release v2.45Release v2.44Release v2.43Release v2.42Release v2.41Release v2.40Release v2.39Release v2.38Release v2.37Release v2.36Release v2.35Release v2.34Release v2.32Release v2.31Release v2.29Release v2.26Release v2.27Release v2.16Release v2.15
Start
Get started with the DQC PlatformAdding a new tenant and users to the DQC PlatformOverview of the DQC PlatformAuto-join: Simplify user onboarding
Connectors
Supported data sourcesConnection to IBM DB2Connection to Oracle DatabaseConnection to ImpalaFile uploads (CSV, Excel, Parquet, JSON)Connect PDF filesConnection to Azure SQLConnection to Azure SynapseConnection to Microsoft FabricConnection to BigQueryConnection to PostgreSQLConnection to ClickHouseConnection to Amazon RedshiftCommunication tools for data improvementConnection to an Alation data catalogConnection to ODataConnection to Azure BlobConnection to SnowflakeConnection to MotherDuckConnection to files on AWS S3Connecting to SAP systemsConnection to SAP HANAConnection to SharePointConnection to Databricks (legacy)Connection to Databricks (native)Connection to WorkdayConnect via DQC Proxy
Main screens
Overview screenTable – Rule detail screenRule repository screenTable – Sample screenConnectors screenSettings screenTable overview screenTable – ProfilingTable – Issue screenTable – Rules Screen
Rules
How to use the 'semantic' ruleSetting up a cross-table checkOverview of existing rulesSetting up a company ruleRule creation via the drop-down menuWorking with quality dimensionsRule prediction and how it worksWorking with tagsSample size considered for data checksProfiling tabSegmentation for data quality checksFilters for data quality checksOverview of the 'is unique' ruleOverview of multi-column rulesThe DQ-AI Assistant to create rulesTable-based rules
Data checks
The Overview tabMultiple rulesets per tableThe Sample overviewVirtual table creationThe Table checkDeletion of a tableDownloading an issue tableIncluding issue exceptionsDeletion of a ruleActivation and De-Activation of rulesAdjustment of the table check scopeAdjustment of the checking schedule for a rulesetImport and export of rules / a rulesetSetting up a data quality checkQuality scoreQuality ratioUse of the DQ-AI Assistant to understand your dataWorking with the issue tab
Settings, access and permissions
User management and access rightsAdding a new tenant and users to the DQC PlatformGroups management
Missions
Mission overviewSetting up a missionRewards and missionsIntegration of buttons into missionsParticipant selection for missionsSetting up a sendout schedule for missions
Alerts
Alert overviewParticipant selection for alertsIntegration of buttons into alertsSetting up an alert
BI integration
Setting up a BI dashboardConnection to Power BI
Data improvements
How to apply the duplicate survivorHow to apply the address data improvement
API validation
The API validation callIntroduction to API validations
SAP ecosystem
SAP
Admin, security and contact
Operations handbookFunction and processing matrixSetting up Microsoft SSO (Single Sign-On)Setting up Two-Factor AuthenticationLinking your SSO account to an existing username/password accountPrivate cloud & On-Premises DeploymentsSupport and contactData privacySingle-Sign-On (SSO) – Non Microsoft
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The DQC Platform makes enterprise data ready for the AI era.

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