Kunming Airlines Data Analysis Platform

Client Profile

Kunming Airlines Data Analysis Platform

As a relatively young airline in China, Kunming Airlines urgently requires an intelligent data analytics and visualization platform based on big data technology. This platform should flexibly support rapid analytical models across multiple domains including passenger services, e-commerce, maintenance, cargo, and scheduling. The goal is to drive data-driven improvements in air cargo marketing and passenger services, accurately grasp market trends, uncover passenger potential value, actively develop frequent flyer programs, enhance operational efficiency, enable refined management, and increase profitability.

Instruction goal

Integrate diverse and complex business data from Kunming Airlines’ operational platforms, including the airline operations management system, passenger service system, e-commerce ticketing system, maintenance system, cargo system, and scheduling system.
Build a data center platform that meets the data integration and analysis needs of staff with varying IT proficiency across different business functions.
Support business reporting, analytics, and data mining needs while managing data access and permissions according to user roles.

Solution

Statistical Analysis Charting Technology

Utilize a wide range of chart types such as bar charts, line charts, pie charts, vector maps, sunburst charts, scatter plots, and GIS maps to meet diverse data visualization requirements, enabling deeper insights and multi-angle analysis.

Data Integration Capabilities

Support multi-source and multi-format data integration, including various structured databases and Excel files, to accommodate Kunming Airlines’ broad data resource needs.

Rapid Visualization and Analytics

Enable fast adoption of new analytical methods and market feedback mechanisms to help Kunming Airlines quickly respond to market demands and passenger needs.

User Benefits

Low barrier to entry for data analysis

User-friendly drag-and-drop interface allows staff with varying technical skills to build and execute data analysis workflows without complex coding.

Multi-dimensional data exploration

Tailored to Kunming Airlines’ operational, financial, and route management requirements, the platform supports diverse visualization and analytical modes, enabling business analysts with different roles to conduct deep data investigations effectively.

Related Cases

A Province Airport Big Data Platform

A group company is a large, diversified enterprise operating across multiple regions, with businesses spanning airports, ports, intercity passenger transport, and logistics services. It manages several airports, and this project focuses on the construction and implementation of big data and cloud platforms for two of its airports.

More
A City Airport Visualization Platform

Develop an integrated visualization and monitoring platform tailored to the airport group’s characteristics. Leveraging big data, IoT sensing, virtual simulation, and digital twin technologies, the platform enables intelligent, precise, and scientific management of personnel, aircraft, and equipment. This enhances operational efficiency, management levels, and decision-making capabilities to support comprehensive airport control.

More
A City Airport IOC

A city airport is developing an intelligent data center application system that integrates data aggregation, governance, application, intelligent service algorithms, and comprehensive visualization. Built on a cloud computing platform and various business systems, it aims to meet data management and intelligent operational needs. The system supports both data asset operations and sharing, as well as integrated business applications, ultimately maximizing the value of the airport’s data assets.

More
Large-Screen Visualization System for Network Control Center of Urumqi Rail Transit Industry Headquarters

The Rail Transit Command Center serves as the central coordination hub for the entire urban rail network, responsible for synchronizing operations between line control centers and operating entities. Its functions encompass comprehensive monitoring, multi-line and multi-system operational coordination, emergency command, and information sharing. In routine scenarios, it undertakes coordination and assistance tasks; in abnormal situations, it provides robust emergency command capabilities.

More
Anhui Expressway Information Management

Based on the traffic conditions, vehicle flow, and meteorological information of the Anhui Province expressway network, combined with service area business operations and consumer spending,supply chain data, a association analysis is conducted to examine the relationships among these datasets. A model is established to reveal the relationship between service area operational revenue and incoming traffic volume.

More

Begin Your Data Intelligence Journey Today

Consultation Free Trial