A push CTO talks about data middle stage (part 2): from evolution, experience to planning

Data Center is known as the "next stop of big data", a booster for the implementation of digital intelligence, and has a wide range of market potential. "Daily Interaction CTO Talks on Data Intermediation (Part 1): From Requirements, Methodology to Application Practice" has introduced the definition, methodology, and daily interactive practical results of data intermediation. This article mainly shares the content of the second half of the interview with you: the similarities and differences between the daily interactive data and the company’s planning and strategic thinking in the central platform, so that everyone can understand the central platform while discussing how to pass Zhongtai solves industry problems, deeply explores the value of data, and empowers business.

The Evolution Path of Daily Interactive Zhongtai Construction

Q1. Compared with other middle-station service providers, what are the advantages of daily interaction? In terms of specific solutions and mid-range products, how are they different from other mid-range products and services on the market?

Daily interaction can be said to be the “indigenous people” of the big data world. Therefore, our focus is to first rely on the company itself and let colleagues in the company use our data as an efficiency tool and knowledge management platform. Be the first to use it in the process of developing data business. In this process, we formed a closed loop by ourselves, verified the effectiveness of Zhongtai products, and then relied on our deeply cultivated industries to allow industry customers to efficiently use the daily interactive digital control platform. Finally, we will further cooperate with partners in other industries to better provide customers with high-quality services.

Therefore, we believe that the difference between daily interactions and other Taiwanese companies is that we pay more attention to "starting with the end." "Finally" refers to how we provide customers and the industry with real value through the data center rather than simply selling platforms. Therefore, we are more on the basis of in-depth understanding of the industry to provide such a platform for the industry. We hope that through this platform, we can unite our customers to truly solve the problems encountered by our customers in their industries.

The root of the concept of "starting from the end" is still our deep understanding of the three-tier structure of "data accumulation (Data)-data governance (Machine)-data application (People)". We believe that these three cannot be carried out in isolation, and only by organically combining the three can infinite possibilities be created.

Especially for the data application (People) layer, we must have sufficient industry experts in our company. Now, many of our colleagues, relying on their deep understanding of the industry, are highly praised by customers as "industry experts". Our colleagues and customers continue to conduct in-depth discussions, dig out their real needs, and then feed them back to the company. Then we conceived how to better refine our own methodology through corresponding technical means, and finally formed a series of reusable Models or products to truly help customers solve various problems.

Q2. At present, the data center is also moving from general to industry segmentation. Which industries are the main services for daily interaction? What are the reasons for choosing these industries?

Daily Interaction mainly serves industries such as mobile Internet, brand marketing, smart risk control, and public services.

The mobile Internet is the number one field that we are deeply engaged in. Daily Interaction first started with message push, and developed a push message push service product for APP developers. Daily interaction understands the needs of developers and divides the life cycle of Internet users into five stages: customer acquisition, growth, maturity, decline, and loss, and provides users with matching data intelligence services and operating tools. In short, as long as customers have their own apps, they may be the objects of our services.

At the same time, we will also provide specific solutions on how to implement refined operations for APP based on the current operational pain points of APP, and help APP developers to use the most efficient method for APP promotion and operation, and use data intelligence to drive developer business growth .

The second area is brand marketing. Through corresponding technologies and services, Daily Interaction provides brand advertisers such as Mars and Danone with in-depth consumer insights, precise advertising targeting, marketing attribution analysis and other services to help customers comprehensively enhance brand marketing value and achieve performance in the Chinese market breakthrough.

The second is the field of intelligent risk control. As we all know, the core of the financial industry or banking mainly lies in risk control. We use our own technology and services to provide financial customers with equipment risk identification and user risk assessment to ensure the security of financial APP business. The fourth area is public services. Daily interaction uses big data and visual analysis to enhance the development of smart cities through insights into the internal connections between people, time and space. Specifically, through big data technology, daily interaction enables the effective linkage of population data, vehicle traffic data, enterprise-related data, and job-resident spatial distribution data, and is the first to realize the instant intercommunication of multi-directional information, and integrate it into an organic whole for the city. It is possible to manage more application scenarios and higher governance efficiency.

Starting from the above several fields, you can see that Daily Interaction, as an enterprise with data as its core production factor, has the gene of big data and is born with the ability to regulate numbers.

In addition, in other areas, we will also cooperate with partners to expand the industry. Relying on the accumulated experience of industry partners, daily interaction will provide relevant customers with strategic support in technology and consulting. For example, in the transportation industry, we are cooperating with Zhejiang Gaoxin to help the transportation department effectively manage high-speed data, realize differentiated charging, targeted information release and other fine operations, and strive to build a big data-driven "super highway" to effectively improve The speed of the expressway, assists driving safety, and realizes the intelligent interaction of people, cars and roads.

Experience and planning of daily interactive middle-station construction

Q3. Regarding the construction of China and Taiwan, what can be shared experiences in daily interaction?

The construction of an enterprise's middle office does not mean that it is over simply "stacking" the relevant technology onto the system. In fact, it has relatively high requirements for the entire company's organizational structure, personnel awareness, and so on.

In this regard, we suggest that in the construction of China and Taiwan, we should focus on the cultivation of corporate talents. When people's quality or awareness is in place, many things will happen naturally.

Therefore, we believe that for companies with digital upgrade and transformation needs, the first step is to solve the "people" problem, first the decision-making level, and then the talent echelon in the organization. The decision-making level determines how far the enterprise can "go" in the end, and then through a good organization, the ability and quality of talents can be cultivated quickly. As long as the problem of "people" is solved, we can build the middle station with the help of tools and methodology related to the construction of the middle station, and it will be a matter of course.

We suggest that companies use the following methods to build data centers: First, companies can try to use the daily interactive digital governance platform to carry out related business, and after the company develops an intuitive understanding in the business process, gradually strengthen the training A talent team with digital awareness. Finally, companies can rely on core talents to make better use of data in the platform.

Q4. What is the long-term plan and goal of daily interaction in the data center? What are your prospects for the company's future data development in Taiwan?

At the "Xixi Theory of Data" Data Intelligence Summit Forum hosted by Daily Interactive last year, we officially released the "Daily Counting". In the following period of time, we did not publicize too much, because we wanted to focus on polishing the product to make it reflect the real substance. At present, the daily interactive "digitization platform" has been practiced and verified internally and externally, and it can already be called a "platform or an operating system."

As a data intelligence company, in the next ten years, daily interaction will still focus on the track of "data intelligence", and polish its products more solidly in terms of talent training, product services and other aspects.

Specifically, we will work with industry partners to provide more customers with services related to the digital governance platform. At this stage, our number cure platform is like "the operating system that everyone uses every day, it is also a process of continuous iteration and improvement."

In the end, we look forward to working with all colleagues and industry partners to truly create a platform system that serves the entire industry.

Everyday life, technology changes. In the era of big data, Daily Interactive firmly believes that data intelligence will become a driving force leading social change. In the future, Daily Interaction will continue to focus on using massive data and innovative technologies to promote the improvement of the data center construction system, helping industry customers reduce data usage costs, accumulate the value of enterprise data, eliminate information barriers, and build a beautiful blueprint for digital upgrades.