Recently, it was hosted by the China Information Association"2023 China Digital Transformation Excellent Solution Collection".Officially announced,Digital China's "Big Data Test Platform Project of a Large Multinational Car Company" was successfully selected.
The "2023 China Digital Transformation Excellent Solution Collection" comprehensively summarizes China's successful experience and best practices in the field of digital transformation, aiming to cultivate a number of "new models" in the industry with distinctive characteristics and obvious differentiation, and provide reference and inspiration for enterprises in transformation and upgrading. The selection criteria of the program set cover the advanced technology, innovation, applicability, feasibility, maturity, as well as the economic and social benefits and promotion value achieved by the cases, etc., and include more than 60 leading cases from first-class departments, scientific research institutions and industry enterprise users at all levels, involving medical care, tourism, transportation, agriculture, manufacturing, finance, retail, energy and other fields. So far, the program has been released for five consecutive years, showing the innovative achievements of digital transformation in various fields, and becoming an important reference material for digital transformation and application work in enterprises, enterprises and key regions.
As an important pillar of China's national economy, the automotive industry is facing multiple challenges such as intensified market competition and diversified consumer demand, and digital transformation has become an important way for enterprises to enhance their competitiveness and achieve sustainable development. Digital China's "Big Data Test Platform Project for a Large Multinational Car Company" has carried out in-depth practice in response to the pain points of the imminent digital transformation of OEM users and the urgent need to improve R&D and testing efficiency.
Through platform-based thinking, Digital China abandons the traditional QA organization model, helps customers innovate technology, personnel, and process management systems, builds a big data test platform, and realizes the integration of authority management, test case writing, test task management and test progress monitoring, effectively meeting the business needs of different roles in the team during the testing process, and building a win-win ecosystem where R&D testing and business progress go together.
Through Digital China's big data test platform, customer team managers can keep abreast of the test progress, monitor the task progress of different projects, manage performance more clearly, and do a good job of risk management and control in a timely manner. Testers can improve the efficiency and accuracy of the overall test project through a more convenient operation method; Developers can also devote more energy to improving the quality and improving a variety of business scenarios in a more stable and secure platform environment.
As another successful implementation of Digital China's "digital cloud integration" strategy in the automotive industry, the practice case of "Big Data Test Platform Project of a Large Multinational Car Company" was selected into the "2023 China Digital Transformation Excellent Solution Collection", which is not only an affirmation of Digital China's technical strength and business capabilities by a third-party authority, but also provides a useful reference for the digital transformation of the automotive industry.
In the context of the rapid development of the digital economy, digital technology is bringing a new round of disruption and reconstruction to the world. In the future, Digital China will continue to uphold the strategic concept of "digital cloud integration", driven by digital technology, provide ubiquitous agile IT capabilities and integrated data-driven capabilities for customers at different stages of digital transformation, build digital business scenarios and new business models with cross-border integration and innovation, help enterprise-level customers establish future-oriented core capabilities and competitive advantages, and promote digital and intelligent transformation and upgrading.