Data Quality Cockpit

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Capability/Data Quality Cockpit
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Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language. Data Quality Cockpit (category: , sort rank: 160, product: Data Quality Assessment & Benchmarking)
Short description Informal and short human-readable definition of a concept. For analyzing the data quality performance of a client's business partner data quality, different features for data analysis are offered. Standard spreadsheets allow exchanging data quality check results and analyzing the quality. The reports come with a set of standard charts that visualize the most important aspects. A dedicated data quality cockpit allows for UI guided analysis of the data quality performance, customizing dynamically result reports and enables to track the progress over time.
Description Informal and comprehensive human-readable definition of a concept.
Release status The release status in terms of development progress or maturity of a product feature or a business capability.<br/><code>EMPTY</code> (0): No feature considered yet, just rough idea for capability.<br/><code>IDEA</code> (1): Just an idea, not yet designed in detail.<br/><code>DESIGN</code> (2): Software design ready, development not yet started.<br/><code>DEVELOPMENT</code> (3): Software development in progress.<br/><code>ALPHA</code> (4): First functional release, in terms of a Minimal Viable Product (MVP).<br/><code>BETA</code> (5): Tested by selected users.<br/><code>RC</code> (6): Release candidate, fully tested, not yet used in production by many customers.<br/><code>LIVE</code> (7): Used in production by customers, fully monitored and supported.<br/><code>DEPRECATED</code> (-1): End of life planned, but still available.<br/><code>EOL</code> (-2): End of life, historic service, no longer available.<br/><code>BROKEN</code> (-3): Service was used in production but is currently not available. However, CDQ tries to repair or reactivate it. LIVE
Use cases Analyze and Prepare a Business Partner Storage for Get Clean, Cleanse and Enrich a Business Partner Storage, Monitor Business Partner Data Quality, Qualified Check of European VAT Identifiers
Apps
Following apps provide this capability
Batch Data Validation
  • Batch Data Validation Video
APIs
Following APIs provide this capability

Features

Feature Short description Informal and short human-readable definition of a concept. Release status The release status in terms of development progress or maturity of a product feature or a business capability.<br/><code>EMPTY</code> (0): No feature considered yet, just rough idea for capability.<br/><code>IDEA</code> (1): Just an idea, not yet designed in detail.<br/><code>DESIGN</code> (2): Software design ready, development not yet started.<br/><code>DEVELOPMENT</code> (3): Software development in progress.<br/><code>ALPHA</code> (4): First functional release, in terms of a Minimal Viable Product (MVP).<br/><code>BETA</code> (5): Tested by selected users.<br/><code>RC</code> (6): Release candidate, fully tested, not yet used in production by many customers.<br/><code>LIVE</code> (7): Used in production by customers, fully monitored and supported.<br/><code>DEPRECATED</code> (-1): End of life planned, but still available.<br/><code>EOL</code> (-2): End of life, historic service, no longer available.<br/><code>BROKEN</code> (-3): Service was used in production but is currently not available. However, CDQ tries to repair or reactivate it.
Standard Data Quality Assessment Reports Data quality profiling results are presented in reports and related dashboards. A report is a combination of a browsable result overview (which can be downloaded) and dashboard(s) that visualize the results. LIVE
Data Quality Monitoring Monitor data quality of a data source in the data mirror over time BETA
Data Quality Monitoring Configuration Configuration of the data quality monitoring services in terms of job intervals, and configuration of the data quality rules engine such as selection of rules, customization of the ruleset, data quality profiling scope (identifiers, addresses, etc.) BETA
Visual Data Insights Visual insights in data analysis results in terms of charts, figures and dashboards BETA
Duplicate Monitoring Continuous monitoring of business partner data in a Data Mirror for duplicates ALPHA
Duplicate Monitoring Configuration Configure the matching configuration, the monitoring interval and other options for continuous duplicate monitoring of business partner data in a Data Mirror ALPHA
Benchmarking Reports IDEA
Data Quality Performance Index IDEA