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Ratings and Reviews 0 Ratings
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What is TEM?
Telecommunications Expense Management (TEM) serves as a vital strategy for organizations, enhancing their Corporate Governance by efficiently managing their telecommunications costs. As businesses increasingly depend on telecommunications, these expenses have become more critical to overall performance, prompting a heightened focus on effective cost management strategies that deliver significant advantages. TEM has emerged as an essential solution in this context. Developed in the 1980s, TEM encompasses a range of methodologies and tools aimed at optimizing telecommunications resources, promoting greater transparency and efficiency to support informed decision-making. With the constant evolution of telecommunication services in the corporate sector, there has been a growing demand for improved investment strategies and robust process controls to match this dynamic environment. By utilizing TEM, organizations not only track their telecommunications expenses but also align their investments with their broader business goals, ensuring that they maximize the value of their telecommunications resources. Ultimately, this alignment fosters a more strategic approach to managing one of the most critical components of modern business operations.
What is Mnesia?
In the realm of telecommunications, data management involves a range of components that are not entirely addressed by conventional Database Management Systems (DBMSs). Recognizing the crucial need for high fault tolerance in systems that require continuous operation, as well as the requirement for the DBMS to function within the same address space as the applications, we introduced an innovative DBMS called Mnesia. Mnesia is deeply intertwined with Erlang, providing key features necessary for constructing fault-tolerant telecommunications systems. Tailored specifically for industrial-grade telecommunications applications, Mnesia functions as a multiuser distributed DBMS, with Erlang serving as its core programming language. This system is designed to tackle the diverse data management challenges typically faced in telecommunications environments and includes several sophisticated features that are often absent in traditional DBMSs. Furthermore, the architecture of Mnesia prioritizes both reliability and performance, positioning it as an optimal solution for mission-critical applications in the telecommunications sector. As such, Mnesia not only meets existing demands but also anticipates future needs in data management within the industry.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
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
TNX
Date Founded
2000
Company Location
Brazil
Company Website
www.tnxcorp.com/post/telecom-expense-management-tem-mejore-la-eficiencia-corporativa-y-elimine-costos
Company Facts
Organization Name
Erlang
Date Founded
1997
Company Website
erlang.org/doc/apps/mnesia/Mnesia_chap3.html
Categories and Features
Telecom Expense Management
Billing for Data
Billing for Voice
Call Monitoring
Chargeback Tracking
Contract Negotiation
Fixed Line Compatibility
Internal Cost Allocation
Mobile Line Compatibility
Usage Reporting
Categories and Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization