Jul 15, 2022
•3 minute read
advanced analytics
Critical Skills for The Future of Supply Chain PlanningIn response to the survey for our upcoming research report, Supply Chain Planning in The Cloud, SAPinsiders highlighted advanced analytics capabilities as the top technology when the current state and immediate next steps timeframe are considered together, as shown in figure 1. As you can see from figure 1, SAPinsiders have indicated that they have started building capabilities in foundational aspects like advanced analytics, and those who have not done it yet, are actively evaluating it. This focus on analytics also brings attention to the importance of supply chain planning skills in the future. This article discusses what are the top key core skills that end-to-end supply chain planning professionals will need in the future.
AIoT in Supply Chain PlanningInternet of things (IoT) devices are now being used in most major supply chains in some forms, at various scales. These devices leverage the internet to collect and exchange data about supply chain activities. Cisco estimates that by 2025, there will be 42 billion IoT devices in use globally. Cisco also estimates that IoT devices are already generating 5 quintillion data daily. And as the number of these devices in use multiplies, so will the associated data volume. That is where AI comes into play, helping organizations leverage the data being captured by these devices in optimal ways. These combined technologies constitute AIoT (“Artificial Intelligence of Things”).This article discusses what AIoT stands for, the critical role of AIoT in supply chain planning, and areas of applications within supply chain planning.
May 27, 2022
•5 minute read
Advanced Analytics and Process IntelligenceRole of Advanced Analytics in Process Intelligence In the latest SAPinsider process automation state of the market research, majority of SAPinsiders indicated that intelligent automation and process intelligence are key capabilities they are planning to build within next two years. Advanced analytics methodologies will play a key role in building intelligent automation solutions. In this article, […]
May 10, 2022
•3 minute read
Predictive Planning in SAP Analytics CloudSAP Analytics Cloud (SAC) has advanced Machine Learning (ML) functionalities built-in that can allow non-data science users to perform advanced modeling as well. Predictive analytics remains a key advanced analytics approach among various analytical approaches. In this blog, we will explore the smart predict functionality of SAC and understand how expert, non-data scientist users can leverage them to build predictive analytics models. Readers will get answers to questions like:
• What is predictive analytics?
• What is smart predict and how it can help create more “citizen data scientists”?
• What is augmented analytics and how does smart predict uses it to aid business users in predictive planning?
Jan 14, 2022
•3 minute read
Combining Operations Research (OR) and Machine Learning (ML)If you are an active resident of analytics land, you know that Artificial Intelligence (AI) and Machine Learning (ML) tools are the new bosses in town. Every tool, technology, and technology solution around you tries to incorporate them in their solution in some form. And all this limelight on AI and ML has pushed the classic analytics professionals like statisticians (who stood their ground and decided to stay with that title rather than getting "rebranded" as data scientists) and good old Operations Research (OR) professionals into a separate categories. Whether talking to executives, reading books, or doing secondary research, a consistent theme is that we have classified the community of advanced analytics professionals in the supply chain world into two primary categories: OR and ML professionals. But do they need to always be in two distinct buckets in the supply chain? This article discusses how OR and ML algorithms can be leveraged in tandem to address critical challenges in the supply chain world.
Jan 19, 2021
•6 minute read
Using Predictive Models to Prepare for the FutureThe COVID-19 crisis has caused uncertainty in almost every aspect of business operations, but it has made one thing more clear: The need for businesses to adopt advanced analytics to survive in a digital environment. Known for its ability to work with various architecture frameworks, help businesses make data-driven decisions, and report in real-time, SAP Analytics Cloud had been identified as a solution that can help organizations move forward during times of uncertainty. In this article, two SAPinsider Contributors drill down into the solution’s features, including its machine learning and predictive analytics capabilities.
After reading this article you will be able to:
- Explain the different capabilities of SAP Analytics Cloud;
- Understand how different industries can use the solution to move forward in times of uncertainty; and
- Learn how data can help predict human behavior.
Apr 24, 2020
•9 minute read
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