SAP NetWeaver provides an open integration and application platform and permits the integration of the Enterprise Services Architecture. You can unify business processes across technological boundaries, integrate applications for your employees as needed, and access and edit simple information easily and in a structured manner. SAP NetWeaver is the basis for all SAP solutions on a given hardware.
As a core component of SAP NetWeaver, the SAP Business Information Warehouse (SAP BW) provides data warehousing functionality, a business intelligence platform, and a suite of business intelligence tools that enable businesses to attain these goals. Relevant business information from productive SAP applications and all external data sources can be integrated, transformed, and consolidated in SAP BW with the toolset provided. SAP BW provides flexible reporting and analysis tools to support you in evaluating and interpreting data, as well as facilitating its distribution. Businesses are able to make well-founded decisions and determine target-orientated activities on the basis of this analysis.
With SAP BI Content, SAP delivers pre-configured role and task-based information models and reporting scenarios for SAP BW that are based on consistent metadata. SAP BI Business Content offers selected roles in a company the information they need to carry out their tasks. The information models delivered cover all business areas and integrate content from almost all SAP and selected external applications.
Snowflake Summit 2025 Announcements
Snowflake Summit 2025’s latest announcements made it clear: the path to genuine AI-driven impact hinges on frictionless access to data, the ability to act on it with clarity, and absolute confidence in its protection. Learn more about how they're making that happen for customers in this article.
How ChatPRD Helps Build Better Stories (and a Stronger Team)
When user stories are vague, it slows down delivery, trust, and momentum. This article by Senior Product Strategy Consultant Traci Metzger shows how she used a lightweight, AI-guided system (ChatPRD) to write clearer, developer-ready requirements that actually accelerated execution.
QA in the Age of AI: The Rise of AI-Powered Quality Intelligence
As organizations push code to production faster, respond rapidly to new customer needs and build adaptive systems, the expectations on quality have changed. It's no longer enough to simply catch bugs at the end of the cycle. We’re entering an era where quality engineering must evolve into quality intelligence and organizations adopting quality intelligence practices are reporting measurable gains across key delivery metrics. Learn more in this article by Principal Engineer Jarius Hayes.
Operational Efficiency in the AI Era: What Matters and What Works
Ever wonder how leading teams are cutting costs without cutting corners? Hint: it starts with AI. In this article by Principal Delivery Manager Kabir Chugh, learn how AI is powering smarter ops, faster deployments, and measurable savings across industries.