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Large amounts of outdated or incomplete master data is created, for example, as a result of restructuring, acquisitions or the sale of business units.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).
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:
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:
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:
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:
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:
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:
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:
Benefits:
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