DATAROCKET Guide is designed to provide organizations with an innovative new entry point for building a data governance. The tool helps you navigate through the structure and mapping of your data governance organization and provides all participants with an overview of responsibilities, policies, and standards across all IT systems and business processes.
Data governance should not be perceived as a constraint or a burden. It is instead a tool for bringing about clarity as well as mutual understanding through the (mandatory) discussion, agreement, and documentation of dependencies and responsibilities.
Vincent OefnerMinimax GmbH, Head of Master Data Management
Implementation of the DATAROCKET Guide data governance tool helps us to break down the walls between our data silos and regulate responsibilities – without taking resources from other systems in our existing system landscape. We transform informal processes into formal processes and convert existing informal responsibilities into official responsibilities. In this way we get the buy-in of employees and managers and make it easy to transition the data and processes, ultimately resulting in a successful cultural change.
Manfred NielsenROSEN Technology and Research Center GmbH, CDO
Master data governance is the enterprise-wide and system-independent foundation that helps us protect our data quality and support efficient core and business processes. It’s important to define and communicate clear responsibilities and roles, as well as to follow precise guidelines.
Stefanie GriesSenior Professional Master Data Projects & Governance
Features
Dashboard
All tasks and requests from Guidelines
Changes in Data Assets
Follow-up notifications
Analysis of results from external data quality tools
Organization
Mapping of people within an organization
Conversion of business roles into data governance roles
Establishment of governance councils and management levels
Business Terms
Document company-specific terms and designations
Link business terms and establish connections
Add explanatory and additional business terms to Data Assets
Data Assets
Technical structure: data structure in existing IT systems and their metadata
Domain structure: mapping of data domains across systems
Process structure: mapping of business processes across data domains
Guidelines
Definition of standards and guidelines
Workflow-based requests for policy creation or modification
Automated technical guidelines for direct implementation in the external data quality tool
DATAROCKET Guide LIVE DEMO
Gain insight into the context behind DATAROCKET Guide. The tool provides you and your entire organization with transparent and easy access to your data governance.
Vincent Oefner Minimax GmbH, Head of Master Data Management
