Setting up a BI dashboard | DQC

StartseiteDQC PlatformKunden

RegistrierenDemo buchen

Ressourcen

Artikel suchen...

Admin, Sicherheit und Kontakt

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

Alerts

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

API-Validierung

Introduction to API validations The API validation call

BI Integration

Connection to Power BI Setting up a BI dashboard

Connectors

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

Datenprüfungen

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

Datenverbesserungen

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

Hauptbildschirme

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

Missionen

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

Benachrichtigungen

AI-Driven Suggestions Notification center Webhooks

Versionshinweise

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

Regeln

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

SAP-Ökosystem

Einstellungen, Zugriff und Berechtigungen

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

Start

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

Die agentische Plattform für Stammdatenqualität. Entwickelt in Deutschland.

SOC 2 Type IIMade in Germany

DQC Plattform

Übersicht

Kunden

Kundenstories

Ressourcen

Blog
Karriere
Über uns
Dokumentation

© 2026 Data Q Company GmbH

Imprint
Privacy Policy

WIR ♥ DATEN