Don't miss upcoming #IBCS webinars. 1️⃣ FP&A Trends: Leveraging Data Visualization for Strategic Decisions 🗓 November 6, 2024, 4:00 PM CET (EN) with Jürgen Faisst, Liran Edelist, Ph.D., & Fernanda Noronha 2️⃣ Effektive Datenvisualisierung mit IBCS und SAP Analytics Cloud 🗓 November 7, 2024, 4:00 PM CET (DE) with Jürgen Faisst & Esin Özkan (live demo of new IBCS features) Find more IBCS lectures: https://lnkd.in/dCcURqkq
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Discover how Nu-Pure Beverages keeps supermarket shelves stocked while minimizing working capital and operating costs with Oracle SCM Cloud. Don't miss this insightful session! Learn how Nu-Pure successfully manages growing demand while maintaining operational efficiency and sustainability. Date and Time: Oct 14th, 1:30 PM Melbourne/Sydney Time 👉 Register now to join this interactive webinar: https://lnkd.in/djqQYhJW Adrián Enrique González Requena Stephen Neilan Shivani Mudgal Phillip brown Montserrat Rodriguez #webinar #session #Oracle #SCM #Cloud #scp #erp #faw #epm #cx #otm #gtm #wms #business #SupplyChain #nupure #trinamix #trinamixrising
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C_SAC_2114 - SAP Analytics Cloud (119 Questions) Are you prepared for the C_SAC_2114 exam? Mastering SAP Analytics Cloud: Core Functionality Breakdown: ↳ Gain insights into SAP Analytics Cloud’s data connectivity. ↳ Explore advanced reporting and visualization capabilities. Exam Preparation Strategy: ↳ Familiarize yourself with the key topics of the C_SAC_2114 exam. ↳ Leverage hands-on practice to reinforce your understanding. Question Analysis: ↳ Dive into 119 practice questions that cover all exam areas. ↳ Analyze and review answers to strengthen your knowledge. Time Management Tips: ↳ Learn effective time management strategies for the exam. ↳ Prioritize high-weighted sections to maximize your score. Ready to ace the C_SAC_2114 exam? #SAPAnalyticsCloud #SAC #C_SAC_2114 #SAPTraining #CloudAnalytics #DataVisualization
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𝗡𝗘𝗪 𝗪𝗛𝗜𝗧𝗘𝗣𝗔𝗣𝗘𝗥 𝗔𝗟𝗘𝗥𝗧: 𝗦𝗔𝗣 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗹𝗼𝘂𝗱 – 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 Still relying on traditional BI reporting to look back at past events? It’s time to explore SAP Analytics Cloud (SAC) – the all-in-one tool for BI, predictive analytics, and planning, designed to seamlessly combine business intelligence with predictive capabilities in a user-friendly platform. 📊 Curious to learn more? Download our whitepaper to dive into our trial and evaluation of forecasting strategies to create a predictive model. 📥 Get your free download here: https://lnkd.in/gH4EPHN3
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🚀 **Exciting News for SAP Analytics Cloud Users!** Finally, one of the most requested features from customers has been delivered by SAP—the **SAC Data Upload Starter Data Action**! This new feature simplifies and speeds up the process of uploading and updating data in SAP Analytics Cloud, making it easier than ever to keep datasets accurate and up-to-date. By automating data imports, customers can refresh their data without manual intervention, reducing errors and saving valuable time. It’s a game-changer for anyone managing large datasets, allowing for more focus on strategic decision-making rather than data management tasks. Thanks to the SAP team for this fantastic enhancement! 🙌 P.S: This will be supported only for the new model, on non-SAP data centre tenants. #SAP #SAPAnalyticsCloud #DigitalTransformation #DataManagement #BusinessIntelligence #SAC #planning
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Unlock the power of real-time data analysis and predictive analytics with SAP Analytics Cloud (Sac). By harnessing these tools within SAC's platform businesses can gain actionable insights that lead them towards enhanced decision-making. Stay ahead of the curve by utilizing SAC's capabilities for a competitive edge in today's fast-paced business landscape. #BusinessInsights #DataAnalysis #PredictiveAnalytics #DecisionMaking #StayAhead #SAP #BPC #SAC #BW4HANA #Group #Dashboards #Analytics #Budgeting
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Unlock the power of real-time data analysis and predictive analytics with SAP Analytics Cloud (Sac). By harnessing these tools within SAC's platform businesses can gain actionable insights that lead them towards enhanced decision-making. Stay ahead of the curve by utilizing SAC's capabilities for a competitive edge in today's fast-paced business landscape. #BusinessInsights #DataAnalysis #PredictiveAnalytics #DecisionMaking #StayAhead #SAP #BPC #SAC #BW4HANA #Group #Dashboards #Analytics #Budgeting
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📢 SAP Datasphere & SAP Analytics Cloud – Seamless Planning (Ask Us Anything) 📢 #SAPPartners, don't miss this opportunity to get an exclusive preview of the upcoming seamless planning features in SAP Analytics Cloud and SAP Datasphere. Join us on October 2nd for a deep dive into what’s in store, led by SAP Product Management. During this session, we’ll cover essential topics like data modeling, data ingestion requirements, and how planning data can be accessed beyond the planning function. This is your chance to ask anything and get expert insights. 🔗 Register now to stay ahead with the latest innovations in SAP planning! https://lnkd.in/eken63d4 #SAPBTP #SAPDatasphere #SAPAnalyticsCloud
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✴ #OpenSAP - Enterprise Goes Cloud 2 ✴ What are you learning today? Don't miss it. Started this week! Based on a Hasso Plattner Institute lecture for the coming 4 week you will get insight into: ✔ Enterprise Databases ✔ ERP and the Move to the Cloud ✔ Low-Code/No-Code and Processes ▶ https://lnkd.in/eBPzHv5K --Week 1 started with-- Unit 1: Overview Unit 2: Welcome focus area 1: enterprise databases Unit 3: The basic idea and history Unit 4: Columnar storage and parallelization Unit 5: The speed challenge Unit 6: Data tiering Unit 7: Examples Unit 8: SAP HANA Cloud and requirements Unit 9: Elastic scale and multitenancy Unit 10: The data plane by Michael Perscheid | Ralf Teusner | Stefan Batzdorf | Vasu Chandrasekhara | Patrick Schmidt | Harald Schubert | Tobias Stein | Jan Brunnert #SAPHANA #Databases #Datamanagement #SAP #AlwaysLearning
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💡 The first week offered great insights by speakers like Hasso Plattner, Stefan Bäuerle and deep dives with Mihnea Andrei into #SAPHANA Cloud architecture, the orgin of SAP HANA and the meaning and challenges of in-memory databases. ⏭ Let's go on to the second week with Stefan Batzdorf Michael Perscheid Jan Brunnert Vasu Chandrasekhara and Marius Obert ✅ Week 2 shows S/4HANA architecture including machine learning, extensibility and deployment. ✅ They give an overview of cloud native pattern like API's, distributed systems, microservice architecture, dynamic scheduling, containerizes apps, and more. ✅ Then they cover #SAPBusinessTechnologyPlatform (BTP) architecture where they show how SAP make applications in the cloud possible with multi-cloud on global scale, service isolation, Kubernetes and iPaaS. --Week 2 is filled with-- Unit 1: Welcome focus area 2: ERP and the move to the cloud Unit 2: Technical foundations and architecture principles Unit 3: Embedded analytics based on virtual data models Unit 4: Optimizations Unit 5: Extensibility Unit 6: Challenges of on-premise and cloud ERPs Unit 7: Cloud patterns and SAP S/4HANA architecture principles Unit 8: Core concepts and use cases of cloud platforms Unit 9: Deep dive: containers, declarative APIs, and service meshes Unit 10: Enterprise cloud qualities and the SAP BTP domain model Unit 11: Developer personas, runtimes, and fridges All weeks are alread available from the beginning. #AlwaysLearning on your own speed and have fun! #SAPS4HANA #S4HANA #CloudNative #SAP
Principal Consultant @ The Data Performance Company | Management Consulting | Passion for Data Performance - Creating Value from Data
✴ #OpenSAP - Enterprise Goes Cloud 2 ✴ What are you learning today? Don't miss it. Started this week! Based on a Hasso Plattner Institute lecture for the coming 4 week you will get insight into: ✔ Enterprise Databases ✔ ERP and the Move to the Cloud ✔ Low-Code/No-Code and Processes ▶ https://lnkd.in/eBPzHv5K --Week 1 started with-- Unit 1: Overview Unit 2: Welcome focus area 1: enterprise databases Unit 3: The basic idea and history Unit 4: Columnar storage and parallelization Unit 5: The speed challenge Unit 6: Data tiering Unit 7: Examples Unit 8: SAP HANA Cloud and requirements Unit 9: Elastic scale and multitenancy Unit 10: The data plane by Michael Perscheid | Ralf Teusner | Stefan Batzdorf | Vasu Chandrasekhara | Patrick Schmidt | Harald Schubert | Tobias Stein | Jan Brunnert #SAPHANA #Databases #Datamanagement #SAP #AlwaysLearning
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