AISWare NDCP

AISWare NDCP is a lightweight network data collection and control platform designed for the telecommunications industry. It primarily serves network operators such as mobile, Unicom, Telecom, and broadcasting companies. The platform addresses the challenges of multi-source heterogeneous data collection and integration, helping operators improve data collection efficiency and quality, enhance data utilization opportunities and value, and ensure that data meets business needs.

Product superiority

Product value

01

Shorten Data Integration Cycle

  • Shields the differences between data sources
  • Shortens the data integration cycle for business systems
02

Reduce Data Integration Costs

  • Reduces the number of data sources which the business systems connected
  • Reduce the number of interoperated interfaces
  • Lowers data integration costs for business systems
03

Lower Data Integration Complexity

  • Promotes the establishment of data standards
  • Enhances data standardization
  • Improves data usability
04

Improve Data Quality

  • Ensures the consistency of metadata for collection management
  • Shortens the detection time of collection exception, reducing collection risks

Application scenario

Data Source Convergence
  • Protocol adaptation for various data sources
  • Data parsing and formatting
  • Formated data distribution
Data Normalization
  • Data field transform
  • Data field enrichment
  • Data model standardization
  • Standardized data multi-sink output
Data Difference Comparison
  • Data difference comparison
  • Notification of comparison results

Customer success case

AISWare NDCP Assists a Telecom Operator in Building a Data Control Platform

A telecom operator used AISware NDCP to collect data from various systems and interfaces across the entire network, achieving data standardization and centralization. This case fully utilized the professional and flexible adaptation capabilities of AISware NDCP, implementing data access and providing data support for multiple business systems.

  • 625 Collected models
  • 6 Provided data for business systems

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