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What is SAP EAM?

Maintain and enhance the performance of physical assets by harnessing real-time information, the Internet of Things (IoT), machine learning, mobile technology, and sophisticated predictive analytics. Improve the planning, scheduling, and execution of maintenance activities by incorporating intelligent technologies that provide added value and optimize your operations. Share best practices for the successful implementation, supervision, and upkeep of machinery. Streamline asset management and customer service processes with a unified database that contains all relevant asset and equipment information. Reduce equipment downtime and increase asset efficiency through an automated system designed to track equipment usage effectively. By adopting this holistic strategy, not only will operational efficiency see marked improvements, but it will also nurture a mindset of ongoing enhancement in asset management practices, ultimately contributing to sustained organizational growth.

What is Elemental Machines?

Leading laboratories worldwide are utilizing the extensive software and hardware solutions provided by Elemental Machines to bridge the gap between their existing equipment and the cloud, which enables them to centralize a vast array of data onto a unified dashboard or seamlessly integrate with their preferred systems via APIs. Collaborating with Elemental Machines empowers laboratories to observe their assets in real-time and receive prompt notifications, making it possible to monitor every element from virtually anywhere at any time. This cutting-edge strategy aggregates data from multiple assets into a singular IoT platform, promoting real-time monitoring, informed decision-making, and effortless compatibility with existing systems. Furthermore, the introduction of autonomous quality checkpoints at key stages of the manufacturing or research processes significantly reduces waste and mitigates regulatory challenges. As laboratory teams gradually resume their activities, our complimentary tool equips lab managers with the agility to effectively organize asset usage and prepare their teams for peak performance. Users can conveniently schedule routine maintenance and keep stakeholders updated about any anticipated asset downtime, thereby boosting operational efficiency. This comprehensive strategy not only simplifies laboratory management but also nurtures an environment conducive to innovation, ultimately driving progress in research and development. As laboratories continue to evolve, embracing such advanced solutions will be pivotal for maintaining a competitive edge in their respective fields.

Media

Media

Integrations Supported

Nisoft Eclipse Suite
SAP Joule
SAP Store
Sigga EAM Empower
Sigga Planning & Scheduling
Sockeye
UptimeAI
eLabNext

Integrations Supported

Nisoft Eclipse Suite
SAP Joule
SAP Store
Sigga EAM Empower
Sigga Planning & Scheduling
Sockeye
UptimeAI
eLabNext

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/supply-chain-management/asset-management-eam.html

Company Facts

Organization Name

Elemental Machines

Date Founded

2015

Company Location

United States

Company Website

elementalmachines.com

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

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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