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SAP Master Data Management

SAP’s solutions for Master Data Management facilitate data consistency across multiple systems for streamlined business processes (operational MDM) and enterprise reporting (analytical MDM) while ensuring data stewardship and master data governance.

  • Multi-domain coverage supporting diverse implementation styles and usage types
  • Generic infrastructure plus domain-specific business packages and ready-to-run applications
  • Support for SAP Business Suite-centric and heterogeneous landscapes
  • Industry-specific and horizontal use case coverage

SAP NetWeaver Master Data Management (MDM) enables companies to consolidate and harmonize their master data within heterogeneous IT landscapes. It consistently delivers vastly reduced data maintenance costs, ensures cross-system data consistency, accelerates the execution of business processes, and greatly improves decision-making.

Business Challenges

  • Streamline inefficient business processes
  • Identify, match, and purge duplicate master data
  • Eliminate administrative miscommunication and costly supply chain delays
  • Simplify your IT landscape and reduce costs for IT maintenance and support

Our SAP MDM service Offerings

Impulse Technologies SAP Master Data Management (MDG) service offerings help organization in bringing clarity on various different master data across the Enterprise

  • Generic Scenarios
    • Data Consolidation
    • Data Harmonization
    • Collaborative Data Creation
  • Horizontal Scenarios
    • Customer Data Management
    • Product Information Management
  • Industry Scenarios
    • Global Data Synchronization
    • Aggregate Physician Spend
  • Embedded Scenarios
    • Supplier Catalog Management

    SAP Master Data Governance (MDG)

    SAP Master Data Governance (MDG) is a natural extension of the business processes running in SAP Business Suite, providing out-of-the-box, domain-specific master data governance to centrally create, change and distribute master data.

    Governance for consistent data

    • Enables governance, compliance and transparency through integrated staging, approval and central audit trail
    • Delivers consistent definition, authorization and replication of key master data entities for SAP
    • Eliminates error prone manual maintenance processes for master data in multiple systems

    Integration and re-use

    • Native integration with SAP Business Suite
    • Re-use of SAP data model, UI, existing business logic and configuration for creation and validation

    Data quality

    • Integrates with SAP Data Services and SAP Information Steward for quality, enrichment, and data remediation

    Impulse Technologies Data Governance Framework refers to the overall management of the availability, usability, integrity, and security of the data within any enterprise Our Data Governance program includes a governing body, a defined set of procedures, and a plan to execute those procedures over time. Our Focus on Data Governance consists of the following FOUR main pillars of excellence

    • Metadata Management – It involves deciding what information about your data to track and storing the information about your data by means of a metadata repository.
    • Master Data Management (MDM) – It is a process of collecting and aggregating all the data within the organization into a single source of truth.
    • Data Quality Management – It involves defining the governing business rules for your data quality and then formally training the Business and IT together with a focus on that quality.
    • Data Privacy & Security – Utilizes data protection technology and MDM tools to manage data classifications and uses those standards to enhance the organizations level of protection from unauthorized users and other data related threats


    Our SAP MDG service Offerings

    Impulse Technologies SAP Master Data Governance (MDG) service offerings help organization to achieve the below

    • Improve decision-making of management.
    • Ensure data consistency and common understanding across the organization.
    • Build trust of data among everyone involved in the process.
    • Re-use of standardized data components over time, space, and applications, and passes saving to all future project budgets.
    • Eliminate risks related to data privacy and security.
    • Adhere to compliance requirements.
    • Native integration with SAP Business Suite using existing business logic and infrastructure leads to low TCO.