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What are the advantages of the big data optimization and improvement service?

Updated on 2024-02-01 GMT+08:00
  • Advantages of the big data development support and tuning:

    Experienced big data service team: Huawei has a team of over 300 veteran engineers with extensive experience in big data applications across a wide range of fields, including sample code development, big data performance tuning guidance, routine service maintenance, and service assurance during major holidays.

    Efficient and easy-to-use tools: Huawei offers sample code, development guidelines, scenario-specific samples, and performance tuning tools to facilitate big data service development for enterprises.

    Comprehensive development assets and knowledge bases: From more than 1,000 projects it has delivered in China, Huawei has accumulated methodologies in background survey, key development points, continuous tuning, and continuous maintenance, as well as rich assets, facilitating big data application development for enterprises.

    An E2E service system: Huawei's E2E service system resolves enterprise issues timely, responds to faults timely, and facilitates service development.

  • Advantages of the data governance service:

    Huawei's data governance and digital operations are the key to Huawei's digital transformation. They break data silos, ensure source data accuracy, promote data sharing, and protect data privacy and security.

    Huawei's digital transformation has explicit requirements on data governance.

    1. Based on unified data management rules, data governance ensures high quality of data sources to produce a clean, complete, and consistent data lake.
    2. Business and data drive data connection construction, and data services provide self-service data consumption.
    3. Data governance ensures the security and compliance of massive amounts of internal and external data.
    4. Business objects, processes, and rules are continuously digitized to improve the automated data collection capability and reduce the labor cost of manual input.

    Huawei has rich data governance practices and has established a systematic data management system through two phases of continuous transformation. The first phase is from 2007 to 2016, during which Huawei made continuous investment, laying a solid foundation for digital transformation. Through data quality measurement and continuous improvement, Huawei ensured that data truly reflected business, reduced operations risks, and improved data quality to lower error correction costs. In addition, through business digitalization, standardization, and IT technologies, Huawei enabled quick transfer and sharing of data between upstream and downstream departments, streamlining data throughout the entire business process and improving efficiency. The second phase started from 2017, when Huawei started to build a data foundation to aggregate and connect data of all domains. Huawei used data services, data maps, and data security and privacy protection to achieve on-demand data sharing, agility, self-service, security, and transparency. Through data aggregation, Huawei visualized business status, and embedded digitalized rules into business processes as algorithms to enable quick and accurate AI-powered decision-making that replaced manual judgment. Huawei keeps innovating data governance to build its competitive advantages.

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