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Description
The MineCare® Maintenance Management system utilizes advanced computing technologies to ensure that data is collected accurately and promptly. This predictive approach facilitates the significant changes necessary for a successful digital transformation of your maintenance processes, ultimately enhancing the lifespan of your equipment while decreasing total cost of ownership (TCO). It is crucial to gather the right information at the appropriate moments and direct it to the necessary stakeholders. The MineCare solution not only focuses on data collection but also emphasizes actionable insights. Maintenance often represents a substantial part of your overall operational expenses, with an average operation potentially seeing around 40% of its costs tied to maintenance activities. Fortunately, these expenses are usually among the most manageable. By shifting to a proactive maintenance strategy instead of a reactive one—where you only address issues after they arise—you can significantly cut down on maintenance expenses while boosting productivity. Embracing such a forward-thinking approach can lead to more efficient operations and better resource allocation.
Description
The development of IT Governance platforms designed for managing Large Computing Systems, particularly those utilizing Mainframe technology, aims to modernize organizational practices and decrease cost structures.
The Challenge:
The significant ownership expenses associated with Large Computing Systems are a major concern.
A multitude of specialized products and countless reports are required for the effective management of the entire spectrum of customers' Large Computing Systems.
There is a notable challenge in formulating and supervising the principles of effective IT Governance, as well as a lag in adapting these principles to the rapidly changing technological landscape.
Additionally, there is a skills gap regarding Large Computing Systems, leading to a heavy reliance on system integrators and outsourcing services.
The Proposed Solution:
Implementing real-time mapping of hardware assets along with the collection of service delivery metrics will streamline management processes.
A unified platform will be established to oversee both the Large Computing Systems and the delivery of business services.
Utilization of Machine Learning technologies will enable the automatic classification of the collected metrics, as well as their correlation with business service delivery and the associated Key Performance Indicators.
This integrated approach not only enhances efficiency but also provides organizations with the agility needed to adapt to future technological advancements.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Modular Mining Systems
Website
www.mmsi.com
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
Mining
3D Modeling
Cross Section Creation
Data Exchange
Data Storage
Exception Notification
Fence Diagrams
Log Map Creation
People Tracking
Pit Optimization Reporting
Risk Management
Volumetrics
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
