From the Cockpit, you get an overview of what is happening. You can see how data quality has changed over the preceding few days and follow changes that were recently made.

• Overview of the workflow coordination of the data quality improvement measures (e.g. approval processes and quality gates)

• Individual reports on data quality in all data sources and data criteria

• Long-term measures of success through a system of definable indicators

• Activity and change history (audit trail) for all activities

• Access to the user management system (management of roles and rights)

With the designer, you can choose your data model, create links between data sources and define your policy for measuring data quality.

• Easy creation of data models using ones generated automatically or chosen from a pool of references

• Connect (importing/exporting) data to hub interfaces

• Define relationships between data sources

• Assign datasets from different data sources (e.g., choosing leading attributes, data pre-processing)

• Define the overall policy for securing data quality

• Apply individual quality criteria in the editor by choosing components using the Lego Principle

• Freely configurable computation paths for complex quality criteria (data pipelines)

• Select and integrating external reference data sources for data validation/enrichment (e.g., addresses, phone numbers, open data)

• Apply industry standards (e.g., eClass or ISO8000) as a templates

In the Analyzer, you can assess the evaluation of the data pipelines (quality criteria) over time. You define your Golden Records (defined datasets) and set the upper values of data quality with key figures that are measureable.

• Analyze the databases using the defined quality criteria

• Identify duplicates and consolidate them

• Identify and cleanse inconsistent datasets

• Update databases

• Data validation/plausibility checks

• Export datasets and quality reporting

• Improve of data in real time or by batch

• Assess data quality over time

• Display the monetization potential (e.g., by integrating activity-based costing)

• Cleansing tool that supports workflow

In the browser, you have a 360° overview of your data. Search and filter your data in real-time.

• 360° view of your data and data quality

• Search and edit across your databases from a centralized location

• Filter and visualize your databases

• Transfer reports in a collaborative setting (e.g., SharePoint)

• Dynamic visualizations of data (e.g., heat maps, visualization on a map)

• Excel-like views and input masks for processing data