At present, the concept of data middle platform is hot, but the industry has different opinions on what is a data middle platform and how to build it. How to clear away the fog behind the construction of China and Taiwan, and open up the road of digital strategy of profound significance for enterprises? A daily data, experts in the field of intelligent interactive (push) CTO Ye Xinjiang opened a middle depth related data sharing, from concept definition, the value assigned to, strategic theory, practice and so on landing layer upon layer analysis, aimed at helping big data, digital domain and related industry practitioners tease out an energized focus on the present and the future of China construction of a new path.
This interview will be divided into two parts. In the first part, we will answer questions and answer questions about the definition, methodology, and practical results of daily interaction of China and Taiwan, so as to unveil the mystery of China and Taiwan for everyone. In the next part, we will focus on analyzing the similarities and differences between the daily interactive data platform and other platforms as well as the company’s strategic thinking on the platform.
1. What are we really talking about when we talk about middle office
Q1: At present, there is no unified view on the concept of Middle Taiwan. So what is your understanding of the data center?
The concept of middle platform in the industry has been put forward for 2~3 years. Initially put forward the concept of the middle stage, which is mainly differentiated with the concept of the front stage and the background. Especially some large enterprises, there will be a lot of so-called background system and front – stage system. Background system refers to financial system, settlement system and approval system, etc. The front desk system, as the name implies, refers to the relevant system that deals with the customer. As businesses grow and businesses become more complex, data becomes more complex. At this point, if the foreground system and the background system for direct data docking, it will be very time-consuming and energy consuming. So the idea of a data center came into being. The middle platform is the middle layer connecting multiple “front stage” and multiple “back stage”, which pulls out a lot of common functions related to data and reduces the repetitive construction of the back stage.
Daily Interactive strives to create a data platform, “the core positioning is data governance and application, so we call it the number of governance platform.” The platform follows the basic connotation of the industry about the middle platform, but on this premise, it has been expanded and upgraded. The common part refers to the collection, integration and data property of data, which will be completed on the governance platform. The expansion part is that the governance platform will combine more relevant subdivision fields to precipitate knowledge, and then provide the ability for development and mining.
“Make a vivid metaphor, we think that the daily interactions of cure of platform as we in the computer operating system, the use of daily interaction is provided for the management of the entire computer resources, as to what the application, such as developing a office, or designer in the design of the software, etc., are highly correlated with various industry, We define that it does not belong to the category of governance platform. The core of the daily interactive governance platform is still data governance, we will provide external services on this basis.”
Q2: Why is the enterprise building a middle platform? What is the value of the data middle platform to the enterprise?
In the era of data, the maximization of data value needs to be better played on the premise of integration. The data center first collects and integrates the data scattered in various places through unified standards for governance, and then makes the governance results into data assets, which can be categorized, priced, managed and audited, and then increases the value of assets to give full play to the value of data. After the completion of the inventory, regulation and unification of data, we can use data and technology as the means to reshape all aspects of the work, make “data business, business data”, help enterprises to build a strategic system of data assets and application value-added, and improve enterprise operation efficiency.
In summary, “we believe that the value of the data platform is a restructuring of the enterprise assets, or a redefinition of the enterprise assets. With new assets, the business can be more profitable.”
Second, the idea and essence of the construction of data center
Q3: What are the key issues to be considered before the construction of industrial customer data?
The construction of data center should follow the requirements of each stage of enterprise digitization process. We believe that the development of enterprise digitalization can be divided into several stages: data collection, integration, opening up and intelligent processing.
In the first stage, for enterprises that already cover a large number of information systems themselves, you need to consider aggregating the relevant data. For enterprises with relatively low information level, online business should be realized.
The second phase requires companies to assess whether their own data has been organically integrated. The so-called “convergence” refers to the effective capitalization of the data generated by the various systems through a standard. In other words, the enterprise needs to complete the data governance and aggregation work at this stage.
The third stage involves data opening, that is, the enterprise needs to have a special department to open the collected data to all internal departments, so that all departments can understand the data assets of the enterprise, so as to better realize the data-based service improvement and innovation of the enterprise. The qualified enterprises then open their data to the upstream and downstream enterprises of the ecological chain to realize service innovation and the reconstruction of collaboration mode, so as to form a wider range of collaboration.
The fourth stage refers to the use of data for intelligent processing. As is known to all, data processing by machine learning and other artificial intelligence methods can create a very broad value-added space, just like looking for mineral resources, through the way of data intelligence, enterprises can dig out the value of new data from an unprecedented perspective.
The above digitalization process is a relatively suitable process for enterprises that plan to implement digitalization strategy. At the same time, because the actual situation of each enterprise is different, their strategies will also be different. In our opinion, large enterprises should mainly consider the issue of system transformation in building the Middle Platform, that is, enterprises should carry out a comprehensive transformation from the whole organization, business model and strategic coordination, which we also call the three aspects: all online, all linked and all coordinated. However, developing enterprises need to consider the “instrumentalization” issue first, that is, enterprises can use the data platform and tools, first realize the online business, and then consider the data-based service improvement.
At present, the number management platform created by daily interaction can be used as an important part of the overall strategy of large enterprises. For developing enterprises, the governance platform can also be used as a tool to facilitate these enterprises to gather their own data first, and then combine with the actual situation of the enterprise to formulate specific use methods and strategies.
Q4: The tide of digital transformation of traditional enterprises is becoming more and more turbulent. What are the business scenarios for Zhongtai to enter traditional industries?
Due to the different characteristics of different industries, their respective applicable business scenarios are also different. For example, customers in the branding industry are more focused on how to achieve marketing growth for the enterprise. Based on its deep insight into the brand marketing and other industries, Daily Interactive has launched a series of products and services, including the governance platform at the bottom level and the industry number plate at the application level. The core of these sets is to precipitate the methodology of how we conduct our business and quickly achieve business objectives in an easy-to-use manner. For example, the daily interactive brand marketing field launched “a lamp number plate”, it is a simple and easy to use SaaS insight tool, with a comprehensive insight into consumers, efficient access to multi-source data, second level output consumer portrait and other characteristics, help the brand owner fully explore and quickly reach the target consumer groups.
In the process of building the governance platform and the industry panel, the company focuses on the three-layer business logic of “Data accumulation (Data), Data governance (Machine) and Data application (People)” to carry out Data intelligence business and promote the digital upgrading of industrial customers.
“D” stands for data, which means that we take inventory of the data scattered in various parts of the enterprise through an appropriate method. Collect, collate, merge and capitalization are all done in the middle layer M. “M” refers to the methodology, mechanism, management system, etc. related to the nature of the platform. The upper “P” stands for personnel, productivity and professionalism. Only by organically linking the three, can the whole data business be carried out smoothly.
Q5: How does the daily interaction build the middle platform? What are the results of the company’s data?
In the specific implementation process, we build our own data center through the form of why-what-how three steps.
First of all, we need to have a deep understanding of the industry and understand the current industry’s most concerned issues. And this is what we call Why. “You don’t have a purpose until you understand why you’re doing it.”
After “Why” comes “What”, which corresponds to the underlying data of daily interactions: “We need to take stock of the data that industry customers already have and the data that has not yet been governed”.
The last is HOW, that is, we connect the two ends of the bottom data and the upper application layer through the triage platform, and give the valuable part generated to the customers to help them make more comprehensive and timely decisions.
Based on the three-step theory of “why-what-how” mentioned above, we are deeply engaged in mobile Internet, brand marketing, financial risk control and other industries. Through continuous practice and innovation in the field of data intelligence, we will precipitate the practice results into the whole products and services of our company, so as to help customers realize the maximum value.
In the financial sector, for example, in order to solve the bank system independent institutions such as the existing data scattered, difficult to exchange management weaknesses, we fully integrated data assets, intellectual operation center, built the whale for data analysis to help financial institutions – users insight – multi-channel precision touch – smart strategy optimization and precipitation, provide powerful data support for operation, We will vigorously upgrade digital operations in the financial sector.
In the era of data intelligence, more and more enterprises are paying attention to the value of data, and gradually become the core assets and production factors of many enterprises. Daily Interactive is committed to creating a data platform — daily number management platform, hoping to use cutting-edge technology for more enterprises to plug in the “wisdom of the brain”, to bring more convenient life for everyone.
In the second part of “Daily Interactive CTO Talk about Data Center”, we will take you to understand the product characteristics of the company’s data center, the power enhancement effect for the segmented industry and the strategic thinking of the product. Please look forward to it.