Data center opens a new era of data intelligence
Driven by the rapid development of big data and artificial intelligence technology and the acceleration of enterprise digital transformation, the "data center" stands out and becomes the focus of the industry, driving the arrival of a new era of data intelligence. Nowadays, many companies are exploring and constructing data middle stations, hoping to better serve the large-scale innovation of front office business through middle stations. The establishment of a data center for enterprises not only requires rich data sources as the basis, but also requires strong data governance and data application capabilities. In particular, mature methodology and professional data center construction plan are crucial to the implementation of data center.
Daily Interaction (personal push) has rich practical experience in the field of data intelligence, and has built a solid and flexible data center to continue to increase energy and efficiency in the digital upgrade of vertical fields. By summarizing its own data intelligence practice and data center construction experience, daily interactive creatively proposed the "DMP" methodology, output data governance capabilities, and opened up a new path for enterprises to implement data center and develop data intelligence applications.
"DMP" takes three steps, accelerating the implementation of data center
DMP, or Data-Machine-People, summarizes the entire process from data collection to data governance to data application. It is the internal logic of daily interaction and data intelligence business, and it is also the actual battle for daily interaction to build its own data center. Summary of experience.
Among them, D refers to Data. Data here includes three levels of meaning, namely Dynamic, Driven, and Depth, which represent the understanding of data by daily interaction, and it is also a manifestation of daily interaction's own advantages in the underlying ability of data.
Dynamic refers to the real-time and freshness of data. Real-time, not only represents efficiency, real-time updated data will also be more accurate, which can support people to make timely and scientific responses and decisions on related issues. We believe that real-time performance plays a decisive role in the value of data; Driven emphasizes the powerful driving role of data to business growth. At present, people's application of big data is more in-depth, and the use of data has not only stayed at the simple statistical analysis stage, but also used cutting-edge technologies such as machine learning to perform in-depth processing of data; Depth refers to the relationship between data Deep integration. We believe that to play the driving role of data, it not only requires a large amount of data to support, but also depends on the continuity of data and the connection between multi-dimensional data.
The “M” emphasized in daily interaction, namely Machine, refers to the ability of data governance and processing. Corresponding to the positioning of data as a production factor, Machine refers to the productivity tools necessary to carry out digital innovation, including methods, technologies and tools related to data governance, data processing, and data applications. Daily Interaction has accumulated strong data governance and processing capabilities in years of data intelligence practice, and deeply extracted its own massive and fresh data, and refined thousands of tags, laying a solid foundation for the construction of rich data applications. The foundation of data and technology can effectively help companies solve the problem of how to manage, manage and use data well.
Digitalization of enterprises requires more than Data and Machine. Daily interaction also emphasizes the importance of "People", that is, "people". People refers to the in-depth understanding and accumulated experience knowledge of industry experts, such as the industry Know-How, which is often mentioned in the industry. The so-called "interlaced as a mountain", different industries such as the Internet, finance, brand marketing have corresponding Know-How and knowledge logic, which requires companies to combine big data technology and industry knowledge when building data centers. Only by validating the data model and polishing the data application in the scene can the data productivity be truly released.
Summarizing years of experience in the construction of data centers and the development of data intelligent applications, Daily Interaction believes that Data, Machine and People are like the troika driving data centers, and none of them are indispensable. Without data, the data center is like a "source of no water", and it is meaningless for enterprises to build a center. In the absence of efficient data governance methods and tools, the process of building a data center for enterprises will be relatively laborious and lengthy, and may not be able to meet expectations. In the end, the built center will not be able to maximize data management and use. The role of data. Without People, the data center built by the enterprise may deviate from the business track and cannot be used in business scenarios. As a result, the large amount of early investment cannot be converted into business benefits, resulting in a waste of resources. Therefore, enterprises need to fully link data, technology, and industry knowledge in order to move forward in the right direction and move lightly on the road of data center construction.
Build a "daily digital control platform" to promote the digital upgrade of the industry
Today, the data center is gradually moving from general-purpose to industry segmentation. Faced with the urgent needs of customers in different industries for more professional and refined digital solutions, Daily Interaction relies on deep technology accumulation, leading data governance capabilities and rich industry experience, relying on the concept of "Data-Machine-People" to face Government and corporate customers provide overall solutions for data centers and data governance services that deeply fit industry scenarios.
The “Daily Data Management Platform”, a new generation of data center developed by Daily Interactive, is based on the massive data resources of Daily Interactive’s own mass data resources to integrate the company’s accumulated capabilities in data extraction and data governance over the years. And experience output to help government and industry customers efficiently solve the pain points of data islands, low data quality, difficult data application, etc., and lower the threshold for digital upgrades of enterprises.
At the same time, Daily Interaction integrates its own big data and industry data to provide continuous data support for industry customers to carry out comprehensive and multi-dimensional business insights and intelligent decision-making; For many years, Daily Interaction has been in the process of digital upgrading of customers in the vertical field of service. In, it has accumulated deep industry knowledge and deposited a rich and reusable industry data model, which can help industry customers implement data applications in specific business scenarios.
For example, in the mobile Internet industry, daily interaction provides APP with professional services in all scenarios from user growth to targeted activation to commercial realization, helping APP to conduct data insights and precise user access, and provide comprehensive services for APP to carry out smart operations. Directional support; in the field of brand marketing, daily interactions help brand owners conduct market research, global consumer insights and in-depth media analysis, help brand owners effectively increase the TA concentration of advertising, and make brand marketing more effective; in terms of urban digital governance , Daily interaction helps government departments to scientifically carry out population analysis, urban planning, and traffic management, innovatively solve the pain points of urban governance scenarios, and help urban management to be more intelligent and efficient.
Under the general trend of digital economy development, digital industrialization and industrial digitization progress coordinated. As a professional data intelligence service provider, daily interaction will revolve around the three-tier structure of Data-Machine-People, continue to consolidate the foundation of big data, deeply cultivate data applications in vertical fields, output data governance capabilities, and help government departments and industry customers to efficiently build data Taiwan, deeply empowering the digital upgrade of various vertical industries.
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