Implementing SAP IBP Analytic Stories to Improve Supply Chain
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Implementing SAP IBP Analytic Stories to Improve Supply Chain
he SAP IBP Analytics Stories App, while incorporating several features from the SAP SAC product, remains exclusive to the SAP IBP product. Consequently, not all functionalities of SAP SAC are present in SAP IBP Analytics Stories. However, like all SAP products, enhancements are expected over time and SAP IBP Analytics Stories roadmap is still valid…
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SAP Integrated Business Planning for Sales and Operations: Q&A on How to Optimize Demand and Supply Planning and Increase Profitability
When it comes to your supply chain, accuracy, efficiency, swift and informed decision making, and timely responses and adjustments to market and business changes are critical — but a lack of communication between sales, marketing, finance, and operations can be a significant impediment to these goals. The ability to effectively and simultaneously evaluate data from...…
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Meet Demand-Driven Scheduling Requirements with SAP ERP and SAP APO: Q&A on When to Use Which for Enhanced Supply and Production Planning
SAP ERP and the production planning and detailed scheduling (PP/DS) and supply network planning (SNP) components of SAP Advanced Planning and Optimization (SAP APO) offer functionality that can be utilized in a variety of design options to optimize production plans and provide greater visibility into your inventory management, but when do you use which? Especially...…
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Probabilistic Supply Chain and Demand Forecasting with SAP IBP: Deliver Results Using Data Science
SAP introduced the concept of Probabilistic Supply Chain into its SAP IBP product in the current and future versions with adaptive and very powerful algorithms for large data sets. Certainly, AI has been around within the SAP landscape for a while with extremely powerful algorithms in the SAP BW-Data Mining suite and SAP HANA PAL…
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Guide to Transitioning from SAP APO to IBP
Transitioning from SAP APO to SAP IBP enhances supply chain planning by leveraging advanced, cloud-based solutions with real-time analytics, improved functionalities, and increased automation, necessitating careful assessment, data migration, training, process re-engineering, testing, phased rollout, and continuous support to maximize benefits.
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An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools
In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…
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Delivering Business Impact with SAP IBP
SAP IBP is an essential component of the broader SAP S/4HANA ecosystem and has been purpose-built to help businesses of all types manage complex supply chains and streamline operations across various levels. Each module within the solution features a standardized data model, which provides real-time visibility of the supply chain. This real-time view can be…
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Transitioning from APO to SAP IBP with CloudPaths
SAP Advanced Planner and Optimizer (APO) has long been a staple for real-time supply chain management, enabling coordination from suppliers to consumers. However, with SAP phasing out support for APO by 2027, users face potential operational risks without ongoing maintenance solutions. Transitioning to SAP Integrated Business Planning (IBP) emerges as a strategic move to preserve…
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5 Steps of S&OP to Achieve an Integrated Business Plan
Sales and operations planning (S&OP) is a set of decision-making processes that regulate and coordinate overall capacity, inventory levels, and lead times across engineering, projects, manufacturing, finance, supply chain, and operations based on forecast information about the market. S&OP focuses on changes from the previous plan and links that with the strategic goals of cost…
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Leverage SAP Integrated Business Planning for Forecasting
Robust is a difficult term to define. It’s something that is useful for the organization, something that makes sense. A robust demand forecasting process must be able to handle variances in demand and enable control your supply chain — with the intent of avoiding situations where you have 1,000 days of inventory or are missing…
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