CSP-based privacy computing for a data-driven auto sector

Commercial context

As the automotive industry races to ensure cars are increasingly ‘connected’, it must overcome key challenges relating to data silos, privacy concerns, and stringent data regulations. These can create significant hurdles for enterprises striving to make informed and intelligent decisions around the use of smart vehicles. CSPs and automobile manufacturers, while possessing vast reservoirs of valuable data, often find their collaboration hampered by these obstacles. The need to bridge the gap between these sectors and unlock the potential within their data sources is critical – there is now pressing demand for innovative solutions that can harmonize disparate data streams while ensuring data privacy and compliance.

Privacy-preserving computing platforms have emerged as a beacon of hope in this landscape. These technologies offer a tantalizing promise: the ability to integrate data from multiple parties, including CSPs and the automobile industry, in a manner that addresses the challenges of isolated data, privacy protection, and stringent regulations. The potential impact of such integration is profound. With cohesive, unified data, enterprises can envisage a future where decision-making processes are streamlined, costs are reduced, and profitability is optimized. However, to realize this potential, the industry must overcome the existing challenges and create a seamless environment where data can flow securely and ethically between stakeholders. This sets the stage for a transformative solution, one that not only addresses the current hurdles but also opens new avenues for collaboration and growth within the automotive industry.

The solution

The key to resolving this issue lies in the Harnessing data insights to enhance marketing efficiencies in the car industry - Phase II Catalyst. At the core of this project lies a multifaceted solution meticulously crafted to revolutionize automobile marketing. By using privacy computing technology, the initiative facilitates the seamless integration of data from CSPs and the automobile industry. This integration, previously hampered by privacy concerns and data security issues, lays the foundation for transformative changes. The solution uses TMF assets GB1027 Zero-Touch Partnering Reference Architecture, GB1027C Zero-Touch Partnering Use-Cases, TMF735 CDR-transaction, TMF736 Revenue Sharing Algorithm, TMF737 Revenue Sharing Report, and TMF738 Revenue Sharing Model to address key areas within automobile marketing:

• Cleaning retained leads: the platform enables efficient cleaning of retained leads sourced from diverse channels, thereby reducing associated costs and enhancing the effectiveness of call centers, ensuring every customer interaction is maximized.
• Rating leads: advanced algorithms are employed to assess retained leads accurately, identifying high-value customers with a strong inclination to purchase automobiles. This precise identification significantly boosts conversion rates of digital marketing efforts, fuelling rapid business growth.
• Exploring the value of existing users: using integrated data, the platform facilitates the formulation of precise marketing strategies. Understanding the value of existing users enhances user loyalty, continuously improves brand value, and strengthens customer relationships.
• Recalling failed leads: even failed leads hold valuable data. The project facilitates data mining efforts on these leads, extracting meaningful insights. This data-driven approach ensures previously unsuccessful attempts can be transformed into targeted, successful engagements with specific audiences.

Application and wider value

Application by China Mobile is projected to generate a contract revenues of nearly 100 million RMB yuan in 2023 alone - looking ahead to 2025, this figure is anticipated to exceed $100 million, signifying a promising revenue stream for CSPs across the globe. According to Zhiqiang Ru, Project Director of Big Data Industry Ecology Department at China Mobile Information Technology, “this Catalyst is helpful for traditional automobile enterprises and ‘new force’ automobile brands who wish to base their business decisions on the wants of consumers. The Catalyst shows the automobile industry to build a user data link system, and improve the private domain flow pool. Through digital and intelligent channels, we can bridge brands and consumers, make more accurate decisions and obtain higher profits. CSPs rely on privacy computing technology to accelerate the circulation of data elements, promote cross-regional security interconnection of medical, financial, power, automotive and other industries, and build a new generation of ecological networks for the circulation of tens of thousands of interconnected data elements."

By merging the data capabilities of CSPs with the security and compliance measures inherent to the vehicle industry, this Catalyst shows how both industries can overcome often considerable commercial barriers and achieve revenue stability. Perhaps most importantly, the project aligns with broader environmental goals. By facilitating data-driven decisions and optimizing marketing efforts, it aids the vehicle industry in reducing carbon emissions by more than 30%. This dual impact – enhancing business profitability and contributing to environmental sustainability – underscores the transformative potential of the project. It exemplifies how modern networks, when harnessed thoughtfully, can reshape industries, foster innovation, and drive positive change on multiple fronts.