Modern Master Data Management (MDM) with DATAROCKET Core
Master Data Management software
for enhanced data quality.
GREATER BY DATA.
DATAROCKET Core is a modern Master Data Management (MDM) system that enables the management and control of all enterprise data in one central location. Our MDM allows you to define and enforce data quality standards, clean up duplicates and inconsistencies, and improve overall data quality. DATAROCKET Core thus ensures the consistency, accuracy, and completeness of data while also featuring extended analysis and reporting options. Simple workflows make it easy to create and maintain data.
Centralized data management
Linking of systems and data sources
DHW, ERP, files, data lakes, API, DBs, and custom solutions
Synchronous in every direction: read and write in batch, stream, or real-time mode
Automated data mapping for linking with reference data models
Custom creation of business data models
Find and manage golden records – the MDM tool as a single point of truth
Custom workflows for data creation, data cleansing, and duplicate cleansing
Fine-grained authorization processes and change approval
Historization & audit
Higher data quality (DQ)
Manage data quality directly in the MDM tool
Wide range of DQ rules for each domain
Formulation of own DQ rules
Data validation and verification of address information, VAT IDs, sanctions lists, PEP lists, ...
Automated data cleansing
DATAROCKET Core live
Arrange your personal demo and get an insight into the functionality and application of DATAROCKET Core.
We support you implementing DATAROCKET Core into your IT system architecture. We offer a wide range of interfaces and web service connections.
Would you like to learn more about sustainable data management with DATAROCKET Core?
More success in the team
Easily integrate all common systems and in-house developments using numerous interfaces
Stay informed about whether integrations are up-to-date and functioning properly
Integrate your own requirements into the MDM tool within the framework of development partnerships
Quickly and easily access validated records
Clean up and fill in gaps in incorrect data
Receive notifications about incorrect or invalid data
Detect, compare, and merge duplicates
Manage and approve data changes using custom workflows and role-based permissions
Graphical evaluation of data quality – including trends over time
Integration of data quality evaluations into the user interface and for integration into the BI tool
Display of hierarchies and relationships in the datasets