Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
GlobIQ Data Collection serves as the crucial initial phase of digital transformation for telecommunications and utility firms, allowing them to create precise digital replicas of their networks. By gathering high-quality data through field surveys, existing paper records, and various digital platforms, it streamlines the digitization of widely distributed network assets using AI/ML technologies for recognizing objects and attributes. This system enhances intelligent document categorization and data extraction through iDoc while employing FME to facilitate the migration and validation of data from digital sources. Throughout the digitization initiative, we provide you with access to the amassed data and tools necessary for keeping your network model current. As a result, the digital transformation of essential business operations will be both quicker and more cost-effective. Additionally, extracting information from outdated paper documents can be labor-intensive and prone to mistakes, especially given that networks consist of numerous geographically scattered components. Ultimately, implementing a robust data collection strategy can significantly improve operational efficiency and decision-making.
Description
MinVu serves as a comprehensive data intelligence platform designed to capture, validate, enhance, and standardize data, thereby improving both reporting and analytics. Central to its functionality is a suite of operational data stores integrated with a data intelligence layer that ensures real-time validation and enhancement of data, which is then seamlessly streamed into various applications, services, advanced AI systems, or data warehouses and reporting tools. Frequently, mine sites struggle with the absence of a singular data source, leading to labor-intensive report generation typically done via Excel; this process often results in inconsistent definitions and measurements of key performance indicators (KPIs). Consequently, this inconsistency poses challenges for data visibility and traceability, undermining trust in the reports and creating uncertainty in decision-making processes. The lack of a unified data source exacerbates these issues, highlighting the critical need for reliable data management solutions in mining operations. By leveraging MinVu, organizations can overcome these challenges and foster greater confidence in their data-driven decisions.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Sheets
No
Microsoft Excel
No
iDoc
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Globema
Founded
1997
Country
Poland
Website
www.globema.com/globiq/data-collection/
Vendor Details
Company Name
RPMGlobal
Country
Australia
Website
rpmglobal.com/product/minvu/
Product Features
Product Features
Mining
3D Modeling
No
Cross Section Creation
No
Data Exchange
No
Data Storage
No
Exception Notification
No
Fence Diagrams
No
Log Map Creation
No
People Tracking
No
Pit Optimization Reporting
No
Risk Management
No
Volumetrics
No