利来国际

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Service & User Experience

Service and Digital Platform
End-to-End Network Services
  • Intelligent O&M
  • Digital Operation
  • Intelligent Data Mid-End Platform
  • 5G Services
  • End-to-End Network Services

Solution Overview

Scenario

Value Networking

The value networking solution is aimed to maximize of the network construction value of operators, based on the existing network data, engineering parameters, as well as geographic information and other wireless data, combined with the value area identification and import, comprehensively evaluate the site priority in multiple dimensions, accurately forecast the planning network coverage effect, and help operators improve the cost performance of network construction.

End to End Intelligent Optimization

This solution takes user experience as the core object, utilzes end-to-end business data in many fields as the basis, uses expert experience and machine learning as the means, and four major functions of customer complaint handling, regional perception optimization, user perception optimization and business perception optimization as the starting point, so as to effectively assist operators in daily wireless network optimization.

Value Operation

Aiming at the challenges of network complexity, business diversification and experience personalization faced by operators, a comprehensive solution based on value operation is created. By means of end-to-end customer perception, business quality assurance, multi-dimensional analysis of payload promotion and other schemes, operators' stock operation and marketing activities are matched to provide value driven operation support.

Voice Service Quality Assurance

Voice service quality assurance solution is oriented to the operation and maintenance support of voice service. Relay on network signaling, it integrates the data of multiple manufacturers and multiple network elements, and uses artificial intelligence, machine learning and other technologies to build a real-time, active, end-to-end, demarcation and positioning support system, realizing the promotion of users experience, business quality, improve operation and maintenance efficiency.

Data Service Quality Assurance

Based on big data analysis, collecting wireless, core network and SP side data for end-to-end association analysis, and evaluates the service quality based on the four topics of one key complaint analysis, regional perception analysis, service perception analysis and user perception analysis. The solution also analyzes the causes of poor quality dynamically, and gives the factors of wireless, core network, SP, bearer and users.

Customer Experience Management

With the higher pursuit of users for the quality of communication experience,ZTE provides customer experience management solution, which provides experience driven sustainable development through a variety of solutions such as global perception of users, full perspective customer assurance, VAP users' active care and one button complaint handling.

Overview Data Collection and Synthesis of All Domain and All Interface

By collecting the original data of communication network, analyzing and outputting the original XDR of single interface and combining it with cross interface Association, a complete signaling monitoring scheme across 2G / 3G / 4G network is built. This scheme is an important support of network operation and maintenance, providing input data source for various application systems of communication network.

Data Governance and Intelligent Platform

Takes data governance as the core, unifies data standards and specifications, visualizes data modeling, and realizes efficient data governance. Through one-stop development, end-to-end support for big data + AI data exploration, it helps customers quickly and efficiently improve data quality, reduce construction costs, eliminate data islands, accelerate data enablerment.

AI Training Reasoning Development Platform

This solution is capable to help customer to analysis, model and train massive network data through massive data collection, visualized modeling, large-scale distributed training, and implement the trained AI models to all levels of the network to realize ubiquitous intelligent network.

Advantages and Highlights