Overview | DQC

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Versionshinweise

Overview Release v3.8 Release v3.7 Release v3.6 Release v3.5 Release v3.4 Release v3.3 Release v3.2 Release v3.0 Release v2.45 Release v2.44 Release v2.43 Release v2.42 Release v2.41 Release v2.40 Release v2.39 Release v2.38 Release v2.37 Release v2.36 Release v2.35 Release v2.34 Release v2.32 Release v2.31 Release v2.29 Release v2.26 Release v2.27 Release v2.16 Release v2.15

Start

Get started with the DQC Platform Adding a new tenant and users to the DQC Platform Overview of the DQC Platform Auto-join: Simplify user onboarding

Connectors

Supported data sources Connection to IBM DB2 Connection to Oracle Database Connection to Impala File uploads (CSV, Excel, Parquet, JSON)Connect PDF files Connection to Azure SQL Connection to Azure Synapse Connection to Microsoft Fabric Connection to BigQuery Connection to PostgreSQL Connection to ClickHouse Connection to Amazon Redshift Communication tools for data improvement Connection to an Alation data catalog Connection to OData Connection to Azure Blob Connection to Snowflake Connection to MotherDuck Connection to files on AWS S3 Connecting to SAP systems Connection to SAP HANA Connection to SharePoint Connection to Databricks (legacy)Connection to Databricks (native)Connection to Workday Connect via DQC Proxy

Hauptbildschirme

Overview screen Table – Rule detail screen Rule repository screen Table – Sample screen Connectors screen Settings screen Table overview screen Table – Profiling Table – Issue screen Table – Rules Screen

Regeln

How to use the 'semantic' rule Setting up a cross-table check Overview of existing rules Setting up a company rule Rule creation via the drop-down menu Working with quality dimensions Rule prediction and how it works Working with tags Sample size considered for data checks Profiling tab Segmentation for data quality checks Filters for data quality checks Overview of the 'is unique' rule Overview of multi-column rules The DQ-AI Assistant to create rules Table-based rules

Datenprüfungen

The Overview tab Multiple rulesets per table The Sample overview Virtual table creation The Table check Deletion of a table Downloading an issue table Including issue exceptions Deletion of a rule Activation and De-Activation of rules Adjustment of the table check scope Adjustment of the checking schedule for a ruleset Import and export of rules / a ruleset Setting up a data quality check Quality score Quality ratio Use of the DQ-AI Assistant to understand your data Working with the issue tab

Einstellungen, Zugriff und Berechtigungen

User management and access rights Adding a new tenant and users to the DQC Platform Groups management

Missionen

Mission overview Setting up a mission Rewards and missions Integration of buttons into missions Participant selection for missions Setting up a sendout schedule for missions

Alerts

Alert overview Participant selection for alerts Integration of buttons into alerts Setting up an alert

BI Integration

Setting up a BI dashboard Connection to Power BI

Datenverbesserungen

How to apply the duplicate survivor How to apply the address data improvement

API-Validierung

The API validation call Introduction to API validations

SAP-Ökosystem

Admin, Sicherheit und Kontakt

Operations handbook Function and processing matrix Setting up Microsoft SSO (Single Sign-On)Setting up Two-Factor Authentication Linking your SSO account to an existing username/password account Private cloud & On-Premises Deployments Support and contact Data privacy Single-Sign-On (SSO) – Non Microsoft

Current release

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

SOC 2 Type IIMade in Germany

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