SAS Asset Performance Analytics Description
With fewer unplanned interruptions, you can meet production deadlines and revenue goals. Status dashboards and automated alerts notify managers and operations staff of impending failure. This allows them to quickly identify and fix problems before they become costly problems. Predictive and prescriptive maintenance strategies are a better way to address potential failures and performance degradation. By identifying the leading indicators of breakdowns, you can avoid costly replacements of just-in-case parts. Advanced analytics, data mining, and data visualization can quickly and accurately identify root causes. This will allow you to spot hidden patterns in your data. You can quickly and efficiently troubleshoot performance issues and understand why they occurred so you can take corrective actions.
SAS Asset Performance Analytics Alternatives
Aspen Mtell
Recognize patterns in operating information that can predict failure and degradation well before it occurs. Avoid the high number of false positives that model-based solutions often result in by using precise failure pattern recognition. Low-touch machine learning quickly identifies normal and abnormal behavior to protect equipment in weeks, not months. Aspen Mtell integration and Aspen Cloud Connect™, allows access to OPC-UA supported devices.
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AWS IoT Analytics
IoT data is not structured and therefore difficult to analyze using traditional analytics and business intelligence tools designed to process structured data. IoT data is often gathered from devices that record very noisy processes (such temperature, motion, and sound). These devices often have large gaps and corrupted messages. This makes it difficult to analyze the data. IoT data can often only be meaningful when viewed in conjunction with third-party data inputs. Vineyard irrigation systems often combine moisture sensor data from the vineyard with rainfall data from the vineyard to aid farmers in determining when to water their crops. This allows for better water usage and maximizes harvest yield. AWS IoT Analytics automates all the tedious steps required to analyze data from IoT devices.
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UpKeep
UpKeep is a mobile-first software for facilities and equipment maintenance that is trusted by some the largest companies in the world. UpKeep allows asset and facility management teams to get better data and collaborate seamlessly to improve productivity. It includes tools to create work orders on the go, keep track of all current or upcoming work orders and monitor the health of locations.
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aspenONE Asset Performance Management (APM)
With real-time data, predictive analytics and real-time data, you can get accurate failure alerts up to a month in advance. You can use a combination of prescriptive maintenance and root cause analysis, RAM analyses, and other methods to address problems at the equipment, process, and system levels. Automated Asset Performance Management solutions using low-touch machine intelligence can be quickly deployed to reduce downtime and predict asset failures -- plant-wide, systemwide or across multiple locations.
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Integrations
Company Details
Company:
SAS
Year Founded:
1976
Headquarters:
United States
Website:
www.sas.com/en_us/software/asset-performance-analytics.html
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Product Details
Platforms
SaaS
Type of Training
Documentation
Live Online
Customer Support
Phone Support
Online
SAS Asset Performance Analytics Features and Options
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