ENTERPRISE DATA MANAGEMENT

Request for Consultancy

Urban Soft Solutions’ vision on Data Management & Governance is to institute an organizational structure and processes system that will address complex data issues in all Enterprises. Our competencies help accomplish this through the following initiatives:

  • Data Architecture & Common Data Model:We Institute best practices in data architecture within the organization which includes establishing and maintaining a common, open-ended data model framework that grows with the organization.
  • Master Data Management Plan & Execution:We address inconsistencies in key master data items through application of master data management techniques
  • Data Management and Data Governance:We establish oversight and accountability functions. These ensure that data quality and consistency are part of the Data Governance program by implementing data ownership and stewardship responsibilities.

Urban Soft Solution’s commitment to Service-Oriented Data Integration:

Integrating fragmented data architectures has emerged as a great challenge facing businesses and the IT sector. Business success is increasingly dependent on global views of customers, suppliers, product feedback and partners. This cannot be achieved without data integration.

Service-Oriented architecture helps build a complimentary framework of enterprise application integration together with enterprise data integration technologies. At USS, our Data Architects build Enterprise Data Integration Infrastructures that concentrate on the following important key elements:

  • Data Semantics:The business context behind data definitions like; customer’s address, product category, employee type, etc.
  • Data Quality:Improved data accuracy and consistency between different systems.
  • Data Governance: Data and meta-data lineage, management, documentation, reporting, and auditing tools that help SOX and other regulatory requirements.
  • Data Access: Broad reach into structured, semi-structured and unstructured data in hierarchical and relational databases, mainframes systems, files, documents, and applications.
  • Bulk Data Processing:Support in processing large data volumes, including changed data capture (delta changes for faster performance).

The dynamic delivery of data integration helps to create universal data access, meta-data repository and data integration platform that enables an integrated data infrastructure by:

  • Data Profiling:Thorough, accurate information about the content, quality and structure of data virtually in any system.
  • Data Cleansing:Resolving missing data fields, correcting conflicting data and managing data relationships and hierarchy resolution to ensure the quality of data supplied to the business.
  • Data Transformation:Creating a consistent view of data irrespective of its source, structure and business semantics.
  • Data Federation:Federated access and integration of data, ensuring it cannot be copied and avoiding data latency and cost issues of building a physical data store.
  • Data movement:Flexible data and right-time data delivery whenever and wherever required.

Data Lineage, Data Reporting, and Metadata Analysis: Reporting, analysis, and auditing of data and meta-data for improved visibility and control.

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