As a traditional industry, the construction industry has been slowly advancing in the wave of information technology development. This is limited by its industry characteristics, the traditional project-based development and implementation management model in the construction industry, and the fluidity of projects, which makes it difficult for the construction industry to effectively implement information technology construction. On the other hand, it is also because the informationization of the construction industry has not been able to find a good entry point. With the basic applications already being basically software based, the informationization process of the construction industry has once again encountered a bottleneck. Unable to find a suitable breakthrough point, under the project-based development and implementation management mode, it is difficult to invest on a large scale, and the informationization process of the construction industry is struggling.

The construction cost industry in China has always been a short leg of information technology construction, and the traditional and professional characteristics of the industry have led to a long period of lack of progress in the industry's information technology level. However, since the government relaxed the management of engineering costs, the industry has made significant progress under the promotion of market-oriented forces. Especially under the strong promotion of industry leaders such as Cost Communication, the engineering cost industry has gone from paper to online, from single inquiry to manual inquiry, from local to national

Since the launch of the professional construction industry big data service platform by Cost Communication in 2014, China's construction engineering cost industry has entered the era of big data. The combination of cloud computing and big data provides a one-stop solution to the data platform construction, data storage, data security management, data standardization classification, data analysis and other problems that engineering cost practitioners are struggling with.

The application of big data in China's construction cost industry has brought about changes:

Firstly, the low-cost implementation of enterprise level cloud computing data platform applications enables effective management of data dynamics, systems, and security through cloud data solutions. This comprehensively and targetedly improves the level of engineering cost informatization in the construction industry, helping enterprises achieve information resource management under the premise of cost control.

Secondly, ensuring the security of engineering cost information data. Data is stored in the cloud, eliminating the need to invest manpower or resources in data storage and management. 7 * 24 service, automatic import of offline inquiries into cloud database. Effective management and supervision of access rights for core cost information data in enterprises, utilizing cloud data security solutions to ensure the security of engineering cost information data, and eliminating the need for huge investment in self built databases.

Furthermore, cloud computing technology integrates platform resources and big data services to constantly provide past, present, and future market prices, grasp the dynamics of the national building materials market, help Chinese construction enterprises reduce operating costs, and enhance their market competitiveness.

Afterwards, standardized classification and management of engineering cost information data. According to the national standard for building materials, there are 48 major categories and over 1000 subcategories that automatically and intelligently store enterprise building material price data by category. With the support of big data technology, personalized customization has been achieved, enabling the query, inquiry, and individual customization of engineering cost information and database services.

The progress brought by cloud computing technology to China's construction cost industry is undoubtedly enormous. In the form of platform-as-a-service, it provides clients with services including enterprise data application, management, storage, and customization. Users can easily and cost effectively enjoy big data services through the network.