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Master data management

Do you want high-quality master data to support your informed decisions?

Are you one of the many confronted with these challenges?

The sooner organizations become aware of change, the faster they can respond and secure a competitive advantage.

And a reliable database is crucial for recognizing the relevant developments at an early stage.

A lack of a strategy, or an inadequate one, means extra effort in coordinating and optimizing activities, and therefore avoidable costs.

Protecting personal data as required by the GDPR is a major challenge. Responding to inquiries from customers, suppliers and even job applicants is a huge undertaking and keeps many people in the organization busy.

Large amounts of data that are not directly required by the business put a strain on operational systems. It is challenging for organizations to strike a balance between complying with the legal requirements of the EU GDPR and fulfilling audit-compliant retention obligations.

Unnecessary costs, in the form of resource and storage requirements. need to be avoided at all costs.

Large amounts of outdated or incomplete master data is created, for example, as a result of restructuring, acquisitions or the sale of business units. As a result, there is often a lack of transparency with regard to errors, omissions and duplicates. There is a need for targeted processes and solutions that reduce the amount of manual work involved in data cleansing,

while the retail architecture requires the management of material masters, bills of materials and routings. Large amounts of item numbers and increased demands on the item master, e.g. due to variants, compliance checks and data protection, must also be considered and managed in the context of e-commerce.

Organizations face the challenge of distributing process-relevant master data across multiple SAP systems (on premise and/or cloud) using a single data model (“One Domain” model).

Discover the innovative solution strategies in master data management today!

Data quality management
To create a foundation for sound decision-making, the necessary level of data quality must be defined. Processes for data maintenance and compliance with the described data quality are defined and rules are derived. This is where AI technologies come into play. The effort required to make the data available in the desired quality is kept to a minimum. This provides customers with a solid foundation of data upon which new business opportunities can be built.

Benefits:
- Centralized rules management for customers, suppliers and master data objects
- Objective, measurable assessment of data quality
- Data corrections and lasting increase in data quality
Master data management
This solution enables you to determine your current MDM maturity level and define your target MDM maturity level. It is important to analyze the disruptive factors and the pain points, the examples of best practice and the different possible solutions. The object-based uses of new MDM developments, such as data quality management and rule mining with AI, lead companies out of the data jungle to uncover important potential.

Benefits:
- Sustainable short/medium/long-term master data management strategy
- Multi-dimensional master data management roadmap
- Optimum support of commercial processes
- Focus on core business by identifying qualitative and quantitative improvement opportunities
- Ideal use of capacities as well as time and cost savings
GDPR compliance, SAP blocking and deletion concepts
Blocking and deletion concepts with SAP Information Lifecycle Management (SAP ILM), combined with best-practice rule sets, preserve employee working capacity and ensure compliance.

Benefits:
- Blueprint for GDPR-compliant system operation
- Transparency for management and auditors through defined retention and disposition periods, out-of-the-box control rules and a roadmap for implementing SAP ILM
- Greater trust for customers and suppliers
SAP Data Archiving
By using SAP Information Lifecycle Management (SAP ILM) blocking and deletion concepts in combination with our best-practice approaches, we develop solutions for our customers that are time- and resource-efficient, and therefore cost-effective. We focus here on process-driven and tool-supported analysis of privacy by design, among other factors.

Benefits:
- Minimized resource and storage requirements and costs associated with offloading files from the database to archive systems
- EU GDPR-compliant data storage
SAP Master Data Governance Consolidation
This is a “cockpit” solution for master data from the material, business partner and custom objects domains, which supports the homogenization of large volumes of data. You can save time and money by continually comparing master data with customizing standardization functions (e.g. all road names should be capitalized), changes, additions and merges (“best record”). This also applies to bulk transfer options in change requests for attachments and changes to records.

Benefits:
- Consistent data with manageable effort: fast cleansing of large volumes of data, archiving/deletion of duplicates, completeness and error minimization through business rules in BRF+.
- Downstream workflow for master data governance with a role concept for maintaining data consistency
SAP Master Data Governance Retail and Fashion Management
The Master Data Governance solution, tailored to the needs of the retail sector with its own data model and reduced or customized views and fields, facilitates day-to-day business in the retail sector. The retail mass processing developed specifically for MDG-RFM, the ability to implement business rules via BRF+ (e.g. derivations and validation rules), extensive search options (“fuzzy search”) and duplicate checks can increase data quality in no time at all.

Benefits:
- Achieve direct accountability and quality assurance through workflow and role concept for creating, modifying and blocking articles
- Improve throughput times and completeness in compliance with all industry and company-specific requirements
- Reduce costs by avoiding duplicates
Master data distribution for the implementation of the SAP IE strategy
SAP Master Data Integration (MDI) is SAP’s new standard for implementing the Intelligent Enterprise (IE) strategy. The solution enables analysis of the existing SAP system landscape and shows the potential for IE implementation. SAP MDI can also be used to define potential E2E integration scenarios.

Important options:
- Set up MDI clients within a customer’s existing SAP BTP landscape for SAP S/4HANA from 2020 or SAP S/4HANA Cloud.
- Set up E2E integration scenarios with the Master Data Orchestration Tool
- Optional workshop on how to connect SAP Master Data Governance (SAP MDG) to improve the quality of data within the MDI network.
Benefits:
- Introduce the new SAP standard for standardized master data distribution across multiple SAP systems
- Foundation for integrating other SAP and non-SAP systems within an SAP MDI network
- Reduce integration costs through the provided SAP standard and fulfill the requirements for implementing SAP’s IE strategy
- Be able to sustainably improve master data quality across all systems in the MDI network through SAP MDG connectivity