DataFlux qMDM Solution
The purpose of master data management (MDM) is to solve a particular business problem that requires subject area data integration, or a “master view” of data. Whether you need a unified view of the customer to support sales and marketing efforts or a single view of materials to streamline procurement efforts, MDM can turn chaotic data into actionable information by creating and managing an enterprise “best record.”
The DataFlux qMDM Solution provides the technology required to analyze existing data resources, build a unified view of that information, and manage that master view over time. DataFlux qMDM leverages the award-winning DataFlux Data Management Platform, which provides the data quality, data integration and data governance framework that drives successful MDM programs.
The Unified Approach to MDM
The key to DataFlux qMDM is the ability to deploy the right technology for the right situation. DataFlux qMDM includes a configurable data hub that allows you to create a master view of customers, products, inventory, materials, assets and virtually any other data type. DataFlux qMDM also provides the foundation for either a staged MDM implementation or a comprehensive initial deployment of MDM – allowing your business needs to drive the deployment of MDM technology.
DataFlux qMDM provides the foundation for practical, achievable and scalable MDM, helping you:
- Deliver rapid results – An intuitive interface and web-based stewardship consoles allow business and IT to collaborate more effectively, minimizing the time and complexity of the MDM deployment
- Initiate MDM with minimal system disruption – A standards-based, platform-agnostic approach allows DataFlux qMDM to work within virtually any IT environment
- Utilize a complete solution from initial assessment to post-implementation – With a complete suite of technology, expertise and value-added content, DataFlux qMDM provides a full solution for MDM programs
MDM Built on the Principles of Data Governance
A successful MDM implementation requires a cross-functional program designed to resolve multiple, conflicting views of data across the enterprise. DataFlux qMDM leverages the power of the Data Management Platform, which provides award-winning solutions designed to help organizations increase the value of their data assets.
With this foundation, DataFlux qMDM supports end-to-end data governance projects by providing a wide range of data governance technologies, including:
- A data stewardship console that allows data stewards and business analysts to analyze existing data resources and design MDM workflows and business rules
- Role-based access for data stewards that controls user access to critical master data and protects sensitive and confidential information such as Social Security numbers and other personally identifiable information
- Auditable, historical views of master records, meaning that the relevant data history required for governance is maintained in the solution infrastructure
Features and Functionality
- Multi-domain data model – Create master data domains for party (citizen, customer, student, etc.), organization, site, supplier, product, asset or other data elements
- Metadata discovery and data profiling – Begin the MDM deployment with a solid understanding of the health of incoming data – and jump-start your MDM project
- Entity resolution and matching – Engage a patented data matching engine to create and maintain a master record
- Data stewardship – Control the master data hub, as well as the processes and workflows that govern the creation of master data, through an intuitive, business-focused interface
- Data quality improvement – Utilize DataFlux best-of-breed data quality technology to standardize and rationalize data during the MDM data lifecycle
- Hierarchy management – Manage inter-related data elements, such as tiered and networked hierarchical structures
- Survivorship – Validate master data representations through entity definition, resolution, best record selection/editing and the creation of a universal identifier
- Data integration – Engage batch and real-time data integration processes to manage the master hub repository
- Reporting – Monitor the master repository and the MDM process through interactive dashboards and scorecards
- Data lifecycle management – Manage the entire data management process, including data loading, data updating and data management