A push CTO talks about data middle stage (Part 1): From requirements, methodology to application practice

Currently, the concept of data center is hot, but the industry has different opinions on what is meant by data center and how to build a center. How to get rid of the fog behind the construction of China and Taiwan, and open up a path of far-reaching digital strategy for enterprises? As an expert in the field of data intelligence, CTO Ye Xinjiang of Daily Interaction (a tweet) opened an in-depth sharing of data in the middle of the station, analyzing the concept definition, value empowerment, strategic theory, landing practice and other aspects to help Practitioners in the fields of big data, digitalization and related industries have teased out a new path for China-Taiwan construction that focuses on the present and empowers the future.

This interview will be divided into two parts. In the first part, we will answer questions about the definition, methodology, and daily interactive practice results of Zhongtai, and uncover the mystery of Zhongtai. In the next part, we will focus on analyzing the similarities and differences between the daily interaction data and other middle stations, as well as the company's strategic thinking in the middle station.

1. When we talk about China and Taiwan, what are we really talking about

Q1: Currently, different people have different opinions on the concept of China and Taiwan, and there has never been a unified view. So what exactly is the data center as you understand it?

It has been 2 to 3 years since the concept of middle station in the industry was put forward. The concept of middle office was first proposed, which is mainly to distinguish from the concept of foreground and background. Especially some large enterprises have many so-called back-end systems and front-end systems. The back-end system refers to the financial system, settlement system, and approval system. The front desk system, as the name suggests, refers to the relevant system dealing with customers. As an enterprise grows and grows, its business becomes more and more complex, and data will become complicated accordingly. At this time, if the front-end system and the back-end system are directly connected to the data, it will be very time-consuming and labor-intensive. As a result, the concept of data centering came into being. As an intermediate layer that connects multiple “front offices” and multiple “back offices”, the middle station has extracted many common functions related to data and reduced the redundant construction of the back office.

The data center platform created by Daily Interaction, "The core positioning is data governance and application, so we call it a data management platform." The platform follows the industry's basic connotation of the center platform, but it is carried out on this premise. Expansion and upgrade. The common part refers to the work including data collection, fusion, and data assetization, which will be completed on the governance platform. The extended part is that the number governance platform will more integrate related subdivisions to accumulate knowledge, and then provide capabilities that can be used for development and mining.

"To use an image metaphor, we think that the daily interaction control platform is just like the operating system used in everybody’s computer. The daily interaction provides the management of the entire computer resources. As for what kind of applications are used, for example, The development of an office, or design software used by designers, is highly related to various industries, and we define it as not belonging to the scope of the digital governance platform. The core of the daily interactive digital governance platform lies in data governance, and we will base it on this Shanghai will provide the services required by the outside world."

Q2: Why do companies need to build a middle station, and what is the value of the data middle station to the enterprise?

In the data age, maximizing the value of data needs to be better played under the premise of integration. The data center first collects and integrates the data scattered in various places through a unified standard for governance, and then capitalizes the governance results into data. The requirements for capitalization are categorized, priced, manageable, and auditable, and then Then increase the value of the assets and let the value of the data give full play to. After completing the inventory, regularization and unification of data, we can use data and technology as a means to reshape all aspects of work, let "data business, business data", and help enterprises build a strategy of data assetization and application value-added System to improve the efficiency of business operations.

In summary, "We believe that the value of the data center is a reconstruction of corporate assets, or a redefinition of corporate assets. With brand-new assets, companies can generate greater benefits. "

2. Ideas and essence of data center construction

Q3: What are the key issues that industry customers need to consider before building a data center?

The construction of the data center must follow the requirements of each stage of the enterprise's digitalization process. We believe that the digital development of enterprises can be divided into several stages: data collection, integration, openness, and intelligent processing.

In the first stage, for companies that have already covered more information systems, it is necessary to consider gathering relevant data together. For companies with a relatively low degree of informatization, it is necessary to realize the online business of the enterprise.

The second stage requires companies to assess whether their own data has achieved organic integration. The so-called "convergence" refers to the effective capitalization of data generated by various systems through a standard. In other words, at this stage, enterprises need to complete data governance and collection work.

The third stage involves the opening of data, that is, the company needs to have a dedicated department to open the collected data to all internal departments, so that each department can understand the company's data assets, so as to better realize the company's data-based service improvement and innovation . The qualified enterprises then open the data to the enterprises upstream and downstream of the ecological chain to realize service innovation and reconstruction of collaboration methods, thereby forming a larger-scale collaboration.

The fourth stage refers to the use of data for intelligent processing. As we all know, companies can create a very broad value-added space through artificial intelligence methods such as machine learning. Just like searching for mineral resources, companies can dig out new data value from an unprecedented angle through data intelligence.

The above-mentioned digitalization process is a relatively suitable process for companies planning to implement digitalization strategies. At the same time, as the actual situation of each company is different, their respective strategies will also be different. We believe that large-scale enterprises need to consider the issue of transition system when building a middle office. That is to say, enterprises should carry out a comprehensive transformation from the perspective of the entire organization, business model, and strategic coordination. We also call it the three comprehensives: all online, all links, and all. Synergy. However, developing companies need to consider the issue of "instrumentation" first, that is, companies can use data platforms and tools to first realize the online business, and then consider the improvement of data-based services.

At present, the digital governance platform built by Daily Interactive can be used as an important bearing part of the overall strategy of large enterprises; for developing companies, the digital governance platform can also be used as a tool to facilitate these companies to gather their own data first. Combine the actual situation of the company to formulate specific usage methods and strategies.

Q4: The digital transformation of traditional enterprises is becoming more and more turbulent. What are the business scenarios for China and Taiwan to cut into traditional industries?

Different industries have different characteristics, and their respective applicable business scenarios are also different. For example, customers in the brand marketing industry are more concerned about how to achieve corporate marketing growth. Based on its deep insight into brand marketing and other industries, Daily Interactive has launched a series of products and services, including the underlying digital governance platform and the application-level industry digital disk. The core of these numbers is to precipitate the methodology in our business process, and achieve business goals quickly through an easy-to-operate method. For example, Daily Interactive launched the "Single Lamp Counting Disk" for brand marketing. It is a simple and easy-to-use SaaS insight tool that has the characteristics of comprehensive insight into consumers, efficient access to multi-source data, and output of consumer portraits in seconds. Assist brand owners to fully explore and quickly reach target consumer groups.

In the process of building a digital governance platform and industry data, the company focused on the three-tier business logic of "Data accumulation (Data)-Data governance (Machine)-Data application (People)" to develop data intelligence services and promote the digital upgrade of industry customers.

"D" stands for data, which means that we use an appropriate method to take inventory of the data scattered in various parts of the enterprise. The work of collection, sorting, fusion and capitalization are all done in the middle M layer. "M" refers to the methodology, principle mechanism, management system, etc. related to the nature of the platform. The upper "P" represents personnel, productivity, and professionalism. Only by organically linking these three can the development of the entire data business proceed smoothly.

Q5: How does the daily interaction build the middle stage? What are the landing results of the company's data in Taiwan?

In the specific implementation process, we built our own data center through the three-step Why-What-How.

First of all, we need to have a deep understanding of the industry and understand the issues that the industry is most concerned about. We call it Why. "You only have a goal when you understand why you want to do this."

After Why is What, which corresponds to the bottom layer of daily interaction data: "We need to take stock of the data already owned by industry customers and the data that has not yet been governed."

The last is How, that is, we connect the underlying data and the upper application layer through the number governance platform, and give the valuable part of the generated to customers, helping them to make more comprehensive and timely decision-making.

Relying on the "Why-What-How" three-step theory mentioned in the previous article, we are deeply involved in the mobile Internet, brand marketing, financial risk control and other industries. Through continuous practice and innovation in the field of data intelligence, we have deposited practical results into us The company's entire products and services help customers maximize their value.

For example, in the financial field, in order to solve the pain points of independent and scattered data systems in banks and other institutions that are difficult to communicate and manage, we comprehensively integrate data assets and build Whale Smart Operation Center to help financial institutions conduct data analysis-user insight-user multi-channel Accurate reach-intelligent strategy optimization and precipitation, provide strong data support for operations, and strongly promote the upgrade of digital operations in the financial industry.

In the era of data intelligence, the value of data is receiving more and more attention from enterprises, and it has gradually become the core assets and production factors of many enterprises. Daily Interaction is committed to creating a data center-Daily Numbers Platform, and hopes to use cutting-edge technology to plug in "smart brains" for more companies and bring you a more convenient life.

"Daily Interactive CTO Talks on Data Mid-Taiwan (Part 2)" We will take you to understand the product characteristics of the company's data mid-Taiwan, the energy-increasing effect for the sub-industry, and product strategic thinking.