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Read about interesting news, amazing facts, and get useful hints and insights. In our blog we share our knowledge about SAP's products and the SAP ecosystem. We highly appreciate your comments or recommendations of our contributions. 

 

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    SAP Analytics Cloud, Data & Analytics

    How to customize SAC Business Content and protect it from being overwritten
    With the business content “Integrated Financial Planning for SAP S/4HANA,” SAP Analytics Cloud (SAC) offers a valuable starting point for establishing integrated business planning.

    Data & Analytics, SAP Business Data Cloud

    SAP BDC Connect for Microsoft Fabric: Data exchange without replication
    One of the biggest challenges in data management for companies is harmonizing data from different sources and ensuring easy access to it.

    Data & Analytics

    5 key trends for data-driven companies in 2026
    The increasing use of artificial intelligence (AI) to automate processes and decisions is further boosting the already enormous importance of data for business success.

    SAP S/4HANA, Business Transformation

    SAP LeanIX: An indispensable tool for the SAP S/4HANA transformation
    Enterprise Architecture Management (EAM) is a discipline that strategically links business, processes, data, and IT architectures.

    Innovation, Artificial Intelligence

    AI use in companies: Study shows benefits and need for optimization
    Artificial intelligence (AI) is increasingly becoming an integral part of modern business processes, and its importance is set to grow further in the future.

    SAP S/4HANA, Artificial Intelligence, SAP Business Data Cloud

    “New” SAP Business Suite combines AI, data, and applications
    For many years, SAP Business Suite was synonymous with the seamless interaction of modular enterprise applications – with the aim of mapping key business processes end-to-end.

    Data & Analytics, SAP Business Data Cloud

    SAP Snowflake: Seamless data exchange between platforms
    Companies are striving to simplify their data landscapes and preserve the business-critical context of their data.

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