Big data, which is now widely used in smart cities, financial transactions, and smart manufacturing, has risen in importance globally and now forms part of many countries’ national strategies.

At the same time, enterprises' digitalization levels usually have a strong correlation with their revenue. According to a third-party report, the revenue growth rate of enterprises with high digitalization levels can be five times higher than that of enterprises with low digitalization levels.

Placing data strategy at the core of digital transformation is conducive to the development of both enterprises and countries at large.

Removing the hurdles to implementing a data strategy

When it comes to data governance, organizations can face several challenges. Data is often stored in many independent service systems, leading to data silos. Processes, regulations, data standards, as well as the definitions of metrics can be vastly different between different departments and services. Different departments of the same organization may build independent systems to support similar purposes, leading to low utilization and more silos. In addition, some enterprises lack end-to-end data governance and the expertise for it. The need for end-to-end data governance has become a burden and a source of anxiety for them.

Unified, standardized strategies, organizations, regulations, and processes are essential for comprehensive, systematic data governance. To maximize the value of data and facilitate digital transformation, organizations must build a clean, reliable, and shared data foundation.

Joining hands with partners, Huawei Cloud Stack has launched a big data-AI convergence service and offer a tailored, one-stop, open, and intelligent data governance pipeline, called DataArts, for enterprise customers. Huawei Cloud Stack makes end-to-end data governance up to 20 times more efficient and helps customers implement data governance on systems, processes, platforms, and services, allowing them to extract new value from existing data.

It directly addresses the challenges faced by customers, helping them successfully execute their own data strategies.

Tailored: meeting the real needs of enterprise customers

The management systems and processes of governments and conventional enterprises differ greatly from those of Internet companies. The systems of governments and conventional enterprises are more complex and their value chains are longer. Examples of data governance, mining, and analytics used by digital native Internet and mobile companies do not provide the knowledge and experience that governments and enterprises need to successfully implement their own data strategies.

As a non-digital native enterprise, Huawei has built many processes and systems supporting manufacturing, production, supply, R&D, sales, and services over the past 30 years, which have turned out to be a huge burden during digital transformation.

Huawei began its data strategy transformation in 2007 and has accumulated a wealth of experience and knowledge over the years. In Huawei, the implementation of the new data strategy covers four aspects: policies, processes, organizations, and platforms. By focusing on information system architectures and data quality management, we have been continuously improving the data governance and management systems, processes, methods, and platforms, supporting Huawei's digital strategy for rapid growth. These experiences and capabilities have been incorporated into various business workflows we use to serve customers by means of providing consultations, services, platforms, and tools. These capabilities are helping enterprise customers fully implement their own data strategies and build a data governance system and platform that better matches their business needs.

Comprehensive data strategy and a data governance system and platform tailored to business needs

Efficient: higher efficiency through process-based, automated data governance

Apart from improving data quality, data governance also aims to facilitate data usage, from integration to consumption.

Building on the capabilities of DataArts, Huawei Cloud Stack cooperates with partners to provide end-to-end data governance services, covering data survey, data aggregation, data development and quality, data services and consumption, and data visualization. Huawei Cloud also offers a comprehensive data governance methodology to help customers ease into data governance and enable them to quickly get started.

Through pre-integration between modules, the entire data governance process is automated. Data models created using visualized modeling tools can be directly used in cloud databases and data lakes. Existing data standards can be used to directly audit the data quality of database tables. The entire process from visualized data modeling to quality standard implementation is completed automatically. Process-based, automated data governance improves efficiency by up to 20 times.

Open: building a leading data governance solution through partnerships

Huawei insists on working with the best partners to build the best possible data governance solution for different industries and scenarios.

Huawei Cloud Stack focuses on the development of bottom-layer modules and it will continue to cooperate with partners in improving data governance tools and industry data governance services, as well as data and industry applications in different scenarios to provide customers with better data enablement solutions.

The Huawei Cloud Stack big data-AI convergence service sets unified service development specifications and provides open APIs for partner authentication, O&M, and operations access. Partners can easily access different layers of the system on demand, ensuring a good user experience and simplified maintenance and management.

In addition, Huawei Cloud Stack provides development support to partners, helping partners quickly integrate into the open framework within two to three weeks.

Intelligent: improving data governance efficiency with AI

To further improve data governance capabilities, there needs to be a way to ensure the high efficiency of mass data governance and to pass on the experience of data governance experts. The deep integration of AI and data governance will inject new vitality into the development of data governance.

Huawei Cloud Stack applies AI technologies such as reinforcement learning, machine learning, and deep learning to all phases of data governance, which include intelligent data asset cataloging, intelligent data standard recommendations and deduplication, detection of duplicate or abnormal data, and intelligent identification of primary and foreign keys. This greatly improves data governance efficiency and drives a shift from process-based automation to intelligence.

Improved data governance also provides high-quality, clean datasets for AI training and inference, improving the accuracy of AI models.

Comprehensive support and services

Having a good solution and platform alone is not enough to guarantee successful implementation of data governance.

Huawei Cloud Stack has been providing services to government and enterprise customers for the past 30 years and has built a data expert team of more than 300 people. Huawei has accumulated a wealth of practical experience through 3,500 related projects and is able to provide end-to-end, high-quality services to customers, including data survey, blueprint planning, solution design, development and implementation, as well as promotion and operations.

Huawei Cloud Stack also uses a localized, end-to-end service system to ensure quick response, fast handling, and tailored services for customers, helping them smoothly implement data governance.

Cooperation is essential for long-term development. Huawei Cloud's expertise in data governance and their data platform MRS are highly regarded in the industry. According to IDC's China Big Data Platform Market Research Report 2021H1, the Huawei Cloud FusionInsight intelligent data lake was No. 1 in China's big data platform market for three consecutive quarters.

Huawei Cloud Stack will continue to work with partners to improve data services, applications, data governance capabilities, and data governance services, so that together we can help customers from all industries to manage their data with confidence and maximize the value of their data.

Huawei Cloud | Yuan Junhong