China's construction engineering cost industry has entered the big data era
2018-08-17
As a traditional industry, the construction industry's digital transformation has been slow, hindered by its inherent characteristics and project-based development and management model. The fluidity of projects makes it difficult to implement effective digitalization. Furthermore, the industry has struggled to find suitable entry points for digitalization. While basic applications have been largely software-based, the construction industry faces another bottleneck in its digital transformation. The lack of a clear breakthrough, coupled with the project-based development and management model, prevents large-scale investment, making progress in digitalization extremely challenging.
China's construction engineering cost estimation industry has historically lagged in digitalization. Traditional and professional characteristics have hindered progress. However, since the government relaxed its control over engineering cost estimation, market forces have driven significant development, particularly with industry leaders like Zaoshengtong. The industry has transitioned from paper-based to online, from single-source to multi-source pricing, and from regional to national coverage.
Since Zaoshengtong launched its construction industry big data service platform in 2014, China's construction engineering cost estimation industry has entered the big data era. The combination of cloud computing and big data provides a one-stop solution for the challenges faced by construction cost estimation professionals, including data platform construction, data storage, data security management, data standardization and classification, and data analysis.
The application of big data in China's construction engineering cost estimation industry has brought about significant changes:
First, it has enabled low-cost enterprise-level cloud computing data platform applications. Cloud data solutions enable dynamic, systematic, and secure data management, improving the level of digitalization in the construction industry's engineering cost estimation and helping companies efficiently manage information resources while controlling costs.
Second, it provides enhanced security for engineering cost estimation information data. Data is stored in the cloud, eliminating the need for investment in personnel, finances, and resources for data storage and management. 7*24 service, offline pricing automatically imported into the cloud database. Effective management and monitoring of enterprise core cost estimation information data usage rights, using cloud data security solutions to protect engineering cost estimation information data, saving the huge investment required for building a database.
Third, cloud computing technology integrates platform resources, and big data services provide real-time market prices from the past, present, and future, providing insights into national building materials market trends. This helps Chinese construction companies reduce operating costs and enhance their market competitiveness.
Finally, it provides standardized classification and management of engineering cost estimation information data. Intelligent classification according to national building materials standards, with 48 major categories and over 1000 subcategories, automatically stores enterprise building materials price data. Personalized customization supported by big data technology enables customized querying, pricing, and database services for engineering cost estimation information.
The progress brought by cloud computing technology to China's construction engineering cost estimation industry is undeniable. As a Platform-as-a-Service (PaaS), it provides users with services including enterprise data application, management, storage, and customization. Users can easily access big data services through the network at low cost.
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