Master Data Management

Company-wide Data Integration with Oracle Data Hub solutions

The quality of business process is highly dependent whether or not a 360° view at business data is available. In practise these requirements often cannot be fulfilled. Often, if it can be done at all, it needs huge efforts to connect the many data isles. This is where the Oracle Data Hub Products come into action. Based on open standards and proven data models they make a central integration spot to draw together business data.

Oracle Data Hubs

Oracle Data Hub Products are part of the Oracle Fusion Middleware. Data hubs are a consistent and wide source of business data due to comprehensive data models and flexible integration options – a Single Source of Truth! The following products should be interesting to our customers:

• Oracle Customer Hub

  Centralizing, updating and data cleansing of customer data to create a 360° view upon customer data. The functional range includes synchronization of data within the connected source systems. The Customer Data Quality Server provides for high-quality customer master data.

• Oracle Supplier Hub

  Centralization, updating and streamlining vendor data to create a true 360° view of the vendor data. Vendor data is consolidated through Web services using various systems and processes.

• Oracle Product Hub

  Central management of all product data and synchronization with heterogenic systems within the company at with trading- and development partners. The Product Data Quality Server provides for high-quality product master data.

PROMATIS Master Data Management Solutions

Based on more than 15 years of experience in Oracle packaged applications and realization of complex integration solutions we are qualified as solution partner for your Oracle Master Data Management solution. This enables us to cover the entire life-cycle, from strategical planning and functional requirement analysis up to realization and later operation of the solution. Typical tasks are:

• Strategic planning of Master Data Management
• Information requirement analysis and data modeling
• Setup and customization of the packaged Data Hub product
• Implementation of Data Hub tools
• Conceptual design and implementation of the integration of various source systems, among others standard applications, legacy, individual applications, data warehouses