SAP Asset Analytics
Predictive Asset Analytics is the use of statistical modeling, data mining techniques, machine learning, and digital twin technologies to make predictions about future outcomes. A cloud deployment or cloud native solution is required to gain insights from sensor data and engineering simulations. With advances in data storage and loT sensor technology organizations can learn about each asset’s individual performance to predict asset productivity.
Improving reliability, performance, and safety are top priorities for organizations today. But organizations are also focusing on controlling costs and maximizing value from existing investments by supporting predictive maintenance and service. Predictive asset analytics is a solution for end-to-end asset management to provide early warning signals and give a diagnosis of equipment long before failure.
Key Capabilities of SAP Predictive Asset Insights include:
- A 360 view of assets: A holistic view of the asset model with a single predictive tool increasing visibility into master, transactional, performance, and loT data sensor data.
- Intuitive and scalable machine learning: Ability to detect abnormalities and predict failure without data scientist intervention, extending the intelligence of predictive maintenance by machine learning capabilities.
- Advanced analytics: Gain insights into failure modes and leading indicators by benefiting from purpose-made analytical capabilities augmented with predictive asset intelligence.
- Digital twin simulations: Apply ANSYS digital twin technology to analyze assets in action and over time in a live environment where engineering simulations support virtual sensors.
Predictive Asset Analytics is the use of statistical modeling, data mining techniques, machine learning, and digital twin technologies to make predictions about future outcomes. A cloud deployment or cloud native solution is required to gain insights from sensor data and engineering simulations. With advances in data storage and loT sensor technology organizations can learn about each asset’s individual performance to predict asset productivity.
Improving reliability, performance, and safety are top priorities for organizations today. But organizations are also focusing on controlling costs and maximizing value from existing investments by supporting predictive maintenance and service. Predictive asset analytics is a solution for end-to-end asset management to provide early warning signals and give a diagnosis of equipment long before failure.
Key Capabilities of SAP Predictive Asset Insights include:
- A 360 view of assets: A holistic view of the asset model with a single predictive tool increasing visibility into master, transactional, performance, and loT data sensor data.
- Intuitive and scalable machine learning: Ability to detect abnormalities and predict failure without data scientist intervention, extending the intelligence of predictive maintenance by machine learning capabilities.
- Advanced analytics: Gain insights into failure modes and leading indicators by benefiting from purpose-made analytical capabilities augmented with predictive asset intelligence.
- Digital twin simulations: Apply ANSYS digital twin technology to analyze assets in action and over time in a live environment where engineering simulations support virtual sensors.
Benefits of SAP Predictive Asset Insights are:
- Improves service effectiveness
- Lowers maintenance costs
- Increases asset availability
Vendors partners for predictive asset analytics are: SAP , PWC, KCT
Key Considerations for SAPinsiders are:
- Advanced Analytics and Performance Intelligence. In the recent state of the market for process automation, SAPinsiders indicated that intelligent automation and process intelligence are key capabilities they are planning to build in the next two years. This analyst insight explores some critical aspects to be aware of on your path to develop these capabilities.
- Achieve Business Clarity with Process Intelligence. Process intelligence provides an understanding of where process deficiencies exist and where leverage opportunities reside. SAPinsider sat down with Shoeb Javed, Chief Strategy and Product Officer for software testing firm Worksoft Inc., to discuss the latest Achieve Business Clarity with Process Intelligence process intelligence trends.
- Digital twins are on the Rise to Mitigate Risk. Companies are searching for greater efficiencies to improve operational efficiencies and be more resilient. In this analyst insight learn what digital twins are, how they work, how they have evolved, and benefits that they can bring to your organization. Optimization is where digital twins excel to test contingency plans and build resilience.
1279 results
-
Configure SAPSprint for Secure Server-Based Printing on Windows
You can have as wide and varied a range of printing needs as you have business needs. Learn about the available SAPSprint options — what they are and what they do — so you can help your organization meet its specific printing needs. Key Concept Secure Network Communications (SNC) integrates an external security product with...…
-
An Introduction to SAP Analytics Cloud Predictive Analytics
Predictive analytics used to be the domain of data scientists (math guys with a cooler sounding name). Although SAP still feels strongly about supporting this type of user in the ultimate mission of the advanced use of predictive analytics, enabling the average user in predictive endeavors is equally important. Learn the big picture using predictive...…
-
SAP S/4HANA and Embedded Analytics
Embedded Analytics is increasingly becoming a significant feature in applications and is a core value proposition in SAP HANA offering. Available offerings in this space extend beyond the SAP ecosystem into third party vendors as well. As users start interfacing more and more with applications with embedded analytics capabilities, they need to have a good…
-
SAP S/4HANA Adoption: Subsequent Implementation of the Parallel Ledger
Learn various SAP S/4HANA adoption options available for companies running the classic General Ledger. Follow steps to introduce the ledger subsequently in a live SAP S/4HANA system. Key Concept SAP introduced the parallel ledger concept with the SAP ERP Central Component (ECC) system in 2005, and since then, it is gaining popularity due to its...…
-
SAP S/4HANA Adoption Tips
Learn various SAP S/4HANA adoption options available for companies running the classic General Ledger. Follow steps to introduce the ledger subsequently in a live SAP S/4HANA system.
-
Key Steps to Follow During a Migration to SAP Simple Finance 1503
Learn the necessary configuration, migration steps, post-migration steps, tips, and tricks during an SAP Simple Finance migration. Key Concept SAP S/4 HANA Finance, On-Premise Edition has product versions SAP Simple Finance 1503 and SAP S/4HANA Finance 1605, the latter being the successor of the former. If you want to implement and use SAP Accounting powered...…
-
How to Select the Most Suitable Active Budget Availability Control Solution for Your Organization
Learn about the different tools available in an SAP system to implement active budget availability control and how to select the most appropriate tool for your organization based on its financial, cash flow, and budget control objectives. Key Concept Organizations of nearly all types and sizes hold a budget. The budget is a monetary depiction...…
-
Connecting Manufacturing, Products, and Assets
The Internet of Things (IoT) grows more pervasive with every passing day. Data from smart appliances is now everywhere in the consumer world — and the manufacturing world is quickly following. SAPinsider recently sat down with Richard Howells, Global Vice President, Extended Supply Chain at SAP, and Thomas Ohnemus, Vice President, Solution Marketing at SAP,…
-
Proactive Asset Management: How SAP HANA and the Internet of Things Enable Predictive Maintenance
Companies in machine-heavy industries know how important asset maintenance is. Machine failure, no matter how minor, can lead to significant losses if an organization isn’t careful. Fortunately, Internet of Things (IoT) data and SAP HANA are making it possible to improve maintenance schedules and cut downtime to a minimum. The answer lies in predictive maintenance…
-
Using Predictive Models to Prepare for the Future
The 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…
Your request has been successfully sent