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Description

Connect2Assets empowers maintenance teams to utilize real-time condition information seamlessly integrated into their current workflows. Upon receiving a notification, users can efficiently generate a work order, input failure codes, reserve spare parts, and log labor hours directly within the Connect2Assets application. Moreover, tasks can be managed effectively by attaching supplementary documentation to the work order, which may include drawings, operational instructions, or wiring schematics. Additionally, users can link their existing automation systems to their EAM/CMMS solution, enabling the software to intelligently supervise the equipment under its management. By utilizing existing PLC/SCADA-generated condition and process data points, teams can monitor asset health without the need for new hardware purchases. Connect2Assets consolidates industrial data from various sites and integrates it with IBM Maximo, allowing users to access previously untapped SCADA/PLC data. This integration enhances decision-making in maintenance by providing a wealth of data, ultimately leading to more effective maintenance strategies and improved operational efficiency. Consequently, the ability to harness this extensive data stream empowers teams to proactively address maintenance issues before they escalate.

Description

The IBM Maximo® Application Suite comprises a collection of applications designed for effectively monitoring and managing assets, as well as for predictive maintenance and reliability planning. Maximo Application Suite enables organizations to maximize the value derived from their enterprise assets through a unified, cloud-based platform that harnesses the power of AI, IoT, and analytics to enhance performance, prolong asset lifespans, and minimize both operational downtime and expenses. Equipped with IBM Maximo's leading-edge technology, users benefit from adaptable applications for CMMS, EAM, APM, and RCM, all while enjoying simplified installation and management processes, alongside an improved user experience through the integration of shared data and workflows. Utilizing AI and analytics allows for effective management and maintenance of high-value assets, which not only optimizes their performance but also extends their operational lifecycles and decreases costs and downtime. By incorporating automated asset inspections that are powered by real-time data and artificial intelligence, organizations can significantly enhance their inspection procedures. This comprehensive suite ensures that users are well-prepared to meet the challenges of asset management in today’s fast-paced business environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apptricity Inventory Management
Apptricity Travel & Expense
Azure Marketplace
Connect2Assets
Convertigo
CopperTree Analytics Kaizen
Fieldman
IBM Cloud
Mingo
Mpower
Prometheus Platform
Prosol
Quickwork
Span Global Services
VSight Workflow
Xempla
eQube®-DaaS

Integrations

Apptricity Inventory Management
Apptricity Travel & Expense
Azure Marketplace
Connect2Assets
Convertigo
CopperTree Analytics Kaizen
Fieldman
IBM Cloud
Mingo
Mpower
Prometheus Platform
Prosol
Quickwork
Span Global Services
VSight Workflow
Xempla
eQube®-DaaS

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fluke

Country

United States

Website

www.fluke.com/en-us/products/fluke-software/connect2-assets

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/maximo/asset-management

Product Features

Product 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

CMMS

Asset Tracking
Calibration Management
Inventory Control
Key & Lock Management
Mobile Access
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

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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