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DQC Platform
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Start
Overview of the DQC PlatformGet started with the DQC PlatformAdding a new tenant and users to the DQC PlatformAuto-join: Simplify user onboarding
Connectors
Supported data sourcesFile uploads (CSV, Excel, Parquet, JSON)Connect PDF filesConnection to files on AWS S3Connection to Azure BlobConnection to SharePointConnection to PostgreSQLConnection to Oracle DatabaseConnection to IBM DB2Connection to Azure SQLConnection to ClickHouseConnection to Amazon RedshiftConnection to SnowflakeConnection to BigQueryConnection to Microsoft FabricConnection to Azure SynapseConnection to MotherDuckConnection to ImpalaConnection to Databricks (native)Connection to Databricks (legacy)Connecting to SAP systemsConnection to SAP HANAConnection to WorkdayConnection to ODataConnection to an Alation data catalogCommunication tools for data improvementConnect via DQC Proxy
Hauptbildschirme
Overview screenConnectors screenRule repository screenSettings screenTable overview screenTable – Rules ScreenTable – Rule detail screenTable – Sample screenTable – ProfilingTable – Issue screen
Datenprüfungen
The Overview tabThe Sample overviewUse of the DQ-AI Assistant to understand your dataSetting up a data quality checkMultiple rulesets per tableAdjustment of the table check scopeAdjustment of the checking schedule for a rulesetActivation and De-Activation of rulesThe Table checkWorking with the issue tabIncluding issue exceptionsDownloading an issue tableQuality scoreQuality ratioImport and export of rules / a rulesetVirtual table creationDeletion of a table
Regeln
Overview of existing rulesRule creation via the drop-down menuThe DQ-AI Assistant to create rulesRule prediction and how it worksSetting up a company ruleWorking with quality dimensionsWorking with tagsSample size considered for data checksSegmentation for data quality checksFilters for data quality checksProfiling tabHow to use the 'semantic' ruleOverview of the 'is unique' ruleOverview of multi-column rulesSetting up a cross-table checkTable-based rulesDeletion of a rule
Datenverbesserungen
How to apply the duplicate survivorHow to apply the address data improvement
Missionen
Mission overviewSetting up a missionParticipant selection for missionsSetting up a sendout schedule for missionsIntegration of buttons into missionsRewards and missions
Alerts
Alert overviewSetting up an alertParticipant selection for alertsIntegration of buttons into alerts
Benachrichtigungen
Notification centerAI-Driven SuggestionsWebhooks
API-Validierung
Introduction to API validationsThe API validation call
BI Integration
Connection to Power BISetting up a BI dashboard
SAP-Ökosystem
SAP
Einstellungen, Zugriff und Berechtigungen
Adding a new tenant and users to the DQC PlatformUser management and access rightsGroups management
Admin, Sicherheit und Kontakt
Operations handbookFunction and processing matrixPrivate cloud & On-Premises DeploymentsSetting up Microsoft SSO (Single Sign-On)Single-Sign-On (SSO) – Non MicrosoftLinking your SSO account to an existing username/password accountSetting up Two-Factor AuthenticationData privacySupport and contact
Versionshinweise
OverviewRelease v3.10Release v3.9Release 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

DQC — Data Quality Company

Die DQC Platform bereitet Unternehmensdaten für das KI-Zeitalter vor.

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