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What is PreCognize?

In a highly interconnected process industry characterized by a lack of historical data, the challenge of unpredictable failures remains ever-present. Our all-encompassing monitoring solution effectively detects quality issues, equipment breakdowns, operational deviations, and unusual process activities. Instead of wading through a sea of false alarms, we refine this to provide no more than five significant alerts each day. This system enables advanced warnings of potential failures, with notifications issued anywhere from a week to just 24 hours in advance, thereby preventing unexpected interruptions during off-peak hours. By focusing on proactive and scheduled maintenance, we not only boost operational efficiency but also significantly lower costs. The distinct requirements of industrial assets call for a creative strategy; we expertly combine your team's knowledge with cutting-edge machine learning technologies to establish a customized predictive monitoring framework. Using your current sensors and data, the setup is quick; within two weeks, a process engineer can map out the plant's structure and functions, after which the software becomes fully functional, laying the groundwork for enhanced reliability and performance. This swift implementation guarantees that your operations can rapidly reap the rewards of improved monitoring capabilities, ultimately fostering a more resilient industrial environment.

What is Cherrywork Predictive Asset Maintenance?

The Cherrywork® Predictive Asset Maintenance Application is crafted to reduce, optimize, and improve costs related to asset lifecycles at every phase, spanning from initial investment planning and network setup through procurement, installation, management during operations, and eventual disposal or replacement. This cutting-edge solution is vital for pinpointing unexpected equipment failures that could threaten consumer satisfaction and the overall dependability of services. Clients expect timely notifications about planned outages, which empowers them to manage their energy consumption effectively. By utilizing this application, users can engage in proactive asset maintenance, thereby sidestepping potential penalties that might arise from unanticipated failures. It utilizes historical data from multiple sources to construct accurate and credible predictive models, which facilitate the creation of forecasts and risk assessments. Moreover, the application integrates information from online monitoring systems, weather predictions, and various non-operational factors such as operational protocols, equipment specifications, and industry benchmarks, thus providing a holistic strategy for asset upkeep. This multifaceted integration of data sources not only bolsters decision-making but also significantly enhances operational effectiveness and efficiency. As a result, organizations can achieve greater sustainability and improved performance in their asset management endeavors.

Media

Media

Integrations Supported

PI Vision
dataPARC Historian

Integrations Supported

SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
SAP Store

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$30,000 one-time payment

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

PreCognize

Company Location

United States

Company Website

www.precog.co

Company Facts

Organization Name

Incture Technologies

Date Founded

2006

Company Location

India

Company Website

store.sap.com/dcp/en/product/display-0000053552_live_v1/Cherrywork%C2%AE%20Predictive%20Asset%20Maintenance

Categories and Features

Maintenance Management

Technician Management

Categories and Features

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