Setting up a BI dashboard | DQC

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

Connectors

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

Main screens

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

Data checks

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

Rules

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

Data improvements

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

Missions

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

Alerts

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

Notifications

Notification center AI-Driven Suggestions Webhooks

API validation

Introduction to API validations The API validation call

BI integration

Connection to Power BI Setting up a BI dashboard

SAP ecosystem

Settings, access and permissions

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

Admin, security and contact

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

Release notes

Overview Release v3.10 Release v3.9 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

The DQC Platform makes enterprise data ready for the AI era.

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