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SAP Exchange Infrastructure (XI) (From release 7.0 onwards, SAP XI has been renamed as SAP Process Integration (SAP PI)) SAP Extended Warehouse Management (EWM) SAP FICO; SAP BPC (Business Planning and Consolidation, formerly OutlookSoft) SAP GRC (Governance, Risk and Compliance) SAP EHSM (Environment Health & Safety Management)
SAP NetWeaver Master Data Management (SAP NW MDM) is a component of SAP's NetWeaver product group and is used as a platform to consolidate, cleanse and synchronise a single version of the truth for master data within a heterogeneous application landscape. It has the ability to distribute internally and externally to SAP and non-SAP applications.
One of the most common problems for master data management is company growth through mergers or acquisitions.Reconciling these separate master data systems can present difficulties, as existing applications have dependencies on the master databases.
SAP S/4HANA is an enterprise resource planning (ERP) software package meant to cover all day-to-day processes of an enterprise (for example, order-to-cash, procure-to-pay, plan-to-product, and request-to-service) and core capabilities. [1]
SAP HANA (HochleistungsANalyseAnwendung or High-performance ANalytic Application) is an in-memory, column-oriented, relational database management system developed ...
The newly released versions usually follow the SAP Fiori design principles. [2] One of its main design features is that the user interface is defined in an entirely declarative manner. Web Dynpro applications can be developed using either the Java (Web Dynpro for Java, WDJ or WD4J) or ABAP (Web Dynpro ABAP, WDA or WD4A) development infrastructure.
SAP ERP is enterprise resource planning software developed by the German company SAP SE. SAP ERP incorporates the key business functions of an organization. The latest version of SAP ERP (V.6.0) was made available in 2006. The most recent SAP enhancement package 8 for SAP ERP 6.0 was released in 2016.
The data steward may also serve as a liaison between the organization's data users and technical teams, helping to bridge the gap between business needs and technical requirements. They may also play a role in educating others within the organization about best practices for data management, and advocating for data-driven decision-making.
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