- Glossary
- Analytics Cloud
Analytics Cloud
SAP Analytics Cloud (SAC) is an all-in-one solution for analytics and enterprise planning. Built on SAP Business Technology Platform (BTP) and part of the SAP Business Data Cloud (BDC) portfolio, SAC integrates with SAP and non-SAP systems to deliver live and imported data insights through interactive dashboards, reports and planning scenarios.
SAC provides real-time access to SAP Cloud ERP, SAP S/4HANA, SAP BW/4HANA and SAP Datasphere, along with other enterprise systems. It’s made for real teamwork, letting users build visual stories, model forecasts and make smarter decisions together. Predictive capabilities are embedded, so exploring trends and automating insight generation can happen without relying solely on data scientists.
By centralizing analytics and planning in a single interface, SAC reduces tool sprawl and ensures decision-makers are always working with consistent, accurate information. It supports both cloud and hybrid environments and offers enterprise-grade security, granular access controls, auditability and multilingual support, making it a powerful platform for global organizations.
Strategic advantages of using RunMyJobs with SAC
RunMyJobs by Redwood is a cloud-native workload automation (WLA) platform that orchestrates processes across your entire tech stack, not just SAP. With its out-of-the-box SAC connector, RunMyJobs enables autonomous publication of analytics as part of end-to-end business processes, so decision-makers receive accurate, timely insights.
Engage RunMyJobs alongside SAC to:
- Continuously update enterprise insights shared across multiple applications, processes and teams
- Autonomously publish and monitor analytics generated in SAC
- Integrate, execute and monitor SAC publishing rules in large, complex job workflows
Orchestrate SAC insight delivery
Automate scheduling, publishing and monitoring for key insights, analytics and planning information in SAP Analytics Cloud with the RunMyJobs connector.
Real-time monitoring and centralized orchestration empower your teams to incorporate enterprise analytics publishing into complex job chains. Leaders get timely, data-driven insights that improve decision-making for mission-critical processes.
Power better decisions
Related SAP topics
See how other key SAP technologies support end-to-end analytics and planning workflows.
Business Data Cloud (BDC)
SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs SAP data, connects to third-party sources and provides context for decision-making across business areas.
Business Technology Platform (BTP)
SAP Business Technology Platform supports RISE with SAP and S/4HANA Cloud by unifying development, data, analytics, integration and AI to extend and optimize SAP systems.
Datasphere
SAP Datasphere is a cloud-based solution that combines data integration, cataloging, modeling, warehousing and virtualization across SAP and non-SAP systems in one unified service.
SAP Cloud ERP (S/4HANA)
SAP Cloud ERP is a cloud-based ERP system that uses AI, machine learning and analytics to automate business processes. It runs on the SAP HANA in-memory database for real-time data processing.
Related reading
Analytics in motion: Incorporating SAP Analytics Cloud into complex process cadences
To truly impact business outcomes, analytics must be seamlessly integrated into operational processes, moving beyond isolated dashboards. SAP Analytics Cloud, when orchestrated with a workload automation platform, enables analytics to align with your business rhythms, ensuring timely insights are delivered within complex processes so they drive informed decisions.
Intelligent data orchestration strategies for the hybrid finance landscape
Siloed data across SAP, cloud and legacy systems hinders reporting accuracy and compliance in financial institutions. See how an intelligent orchestration layer can connect and govern data flows for faster, safer and more auditable financial operations.
Data movement maturity: Is your data accessible enough?
Learn more about how data movement maturity impacts your business. Discover if your data is accessible enough with this comprehensive guide.
SAP AI readiness: Why “maybe” isn’t an option for job scheduling modernization
AI can’t deliver business value without clean, real-time data, and that depends on the effectiveness of the automation feeding that data to AI models. Explore why modernizing job scheduling is essential for enterprises running SAP and non-SAP systems to unlock the full potential of AI and future-proof operations.
Check out these Integrations
SAP Analytics Cloud
Execute fast and reliable publication of key insights from SAP Analytics Cloud to enable better decision-making across end-to-end processes.- Business Intelligence
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SAP Datasphere
Transfer large volumes of data across a diverse range of SAP and non-SAP systems without using significant resources to schedule, trigger and monitor the end-to-end movement of data.- Data Management
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SAP Business Warehouse (BW) / SAP BW/4HANA
Manage your SAP data storage and processing workflows. Run, intercept and monitor any Business Warehouse process chain, with full access to every step in the chain.- Data Management
