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What is SmartMaintenance?

An all-encompassing approach to monitoring and predictive analysis can significantly improve the tracking of equipment conditions while also optimizing maintenance and repair workflows. This strategy employs predictive analysis to maintain the quality of production processes and evaluate the risks associated with surpassing maximum permissible loads through thorough assessments of unit operations. By integrating predictive analysis into the evaluation of unit conditions, the likelihood of emergency shutdowns can be substantially reduced. Moreover, it is essential to assess the quality of repairs by measuring equipment performance both before and after maintenance, which fosters ongoing enhancement. The incorporation of automated controls for manual repair and maintenance activities not only enhances operational efficiency but also ensures precision in execution. In addition, predictive analysis is instrumental in making strategic decisions about maintenance and repairs, enabling informed investments in new equipment through intelligent load balancing of existing resources. The management of spare parts and consumables can be refined through smart failure predictions, promoting a proactive strategy for equipment oversight. Ultimately, this comprehensive solution lays a strong foundation for bolstering operational reliability and efficiency, paving the way for future advancements in equipment management practices. This proactive approach not only mitigates risks but also contributes to sustainable operational success.

What is AWS IoT Analytics?

The information produced by IoT devices is largely unstructured, which poses significant difficulties for conventional analytics and business intelligence systems that are designed primarily for structured data. These devices collect data from various noisy environments, such as temperature fluctuations, motion detection, and sound levels, resulting in common problems like data gaps, message corruption, and unreliable readings that require extensive cleaning prior to any substantial analysis. Moreover, the value of IoT data often hinges on its integration with external data sources from third parties. For example, irrigation systems in vineyards can improve moisture sensor readings through the inclusion of rainfall data, allowing farmers to refine their water use and boost crop productivity effectively. To facilitate the analysis of data generated by IoT devices, AWS IoT Analytics simplifies each intricate step in the process. This fully managed service operates on a pay-as-you-go basis, allowing it to effortlessly scale to accommodate varying requirements while also streamlining the overall data analysis procedure. By utilizing such automated solutions, companies can more effectively extract critical insights from their IoT data, ultimately leading to better decision-making and improved operational efficiency. In this way, organizations can harness the potential of their IoT investments to drive innovation and growth.

Media

Media

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Oracle Database@AWS

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Oracle Database@AWS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$3.43 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ctrl2GO Global

Company Location

Russia

Company Website

ctrl2go.solutions/en/solutions/smart-maintenance/

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/iot-analytics/

Categories and Features

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

IT Asset Management

Asset Tracking
Audit Management
Compliance Management
Configuration Management
Contract/License Management
Cost Tracking
Depreciation Management
IT Service Management
Inventory Management
Maintenance Management
Procurement Management
Requisition Management
Supplier Management

Maintenance Management

Asset Tracking
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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