The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

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On December 15, the first China Taiwan strategic conference and the third Internet architecture Summit (ias2019) were held in Nanjing. The theme of this conference is “architecture precipitates business core competence”. Internet architects, business architects, technology architects, consulting experts, business technology leaders who practice in the front line of China gathered in the ancient capital of the Six Dynasties to clarify ideas for the digital transformation of enterprises and the evolution of China and Taiwan, and shared an ideological feast of the latest Internet architecture paradigm.

He Xi, vice president of singularity cloud, director of the strategic Staff Department and digital transformation strategic consulting expert, was invited to attend the meeting to share: “data in Taiwan helps enterprise digital transformation”.

Strong demand for data and algorithms brought by the change of production mode

Today, after years of experience in e-commerce shopping festivals, we are used to the model of “pre-sale”. For businesses, pre-sale is a strong prediction, low loss, cost-effective way. Behind it, it actually reflects the change of industrial system process in recent years: from “production consumption” single chain to “information processing material processing”.

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

In the past century, “production consumption” is the most common and common process structure in the industrial system. In the production process, enterprises design and manufacture, focusing on constantly overcoming and solving the production side problems, such as through lean production, trying to eliminate the waste in the production process. After the completion of production, the enterprise will be associated with consumers through “sales behavior” such as distribution and distribution channel construction. The new industrial process “information processing material processing”, which takes “pre-sale” as a typical case, interacts with users in the information processing process. Under the condition that we fully understand the needs of consumers and even have obtained the orders ordered by consumers, we can carry out manufacturing, that is, material processing.

Of course, the implementation of the “information processing material processing” process is not achieved overnight. It also brings changes and challenges to enterprises:

First, its business must be online to a certain extent before information processing;

Secondly, information processing means that a large number of data with more dimensions need to be processed, which often exceeds the limit of human computing power and must be solved by introducing algorithms;

Third, in the brand-new industrial system, users are no longer the pure consumption role isolated from production, and their participation and discourse power are getting higher and higher in the industrial system, which constantly pushes enterprises to meet the needs of users. However, in the face of massive personalized and diversified consumer demand, the traditional enterprise information management system and architecture “have more than enough heart but not enough strength”, the original “chimney” architecture can not realize the large-scale fine matching and connection between people and goods, which requires the enterprise to innovate the information system.

In addition, the massive personalized consumption demand also promotes the reconstruction of the production and manufacturing system.

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

Throughout the whole industry chain and the whole value chain, we can find that the change of production mode has brought strong demand for data and algorithm. Facing the future, “data + algorithm” will play a powerful and irreplaceable role.

He Xi said that in the DT era, “algorithm” can be regarded as a new production relationship, which is based on the background that computational power replaces physical and mental power, while data is considered as an extremely important means of production.

90% of the digital transformation of enterprises is backed by data problems

Facing the change of production mode, digital transformation has become an inevitable choice for the development of enterprises. But after several years of development and trial, the implementation of enterprise transformation is still difficult. In order to avoid more detours, singularity cloud will first ask enterprises the following questions: what is the strategic goal of digital transformation? What is the core project?

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

He Xi introduced that in the process of big data consulting and enterprise digital transformation services in singularity cloud for three years, it was found that in the face of the challenges of big data, cloud computing and artificial intelligence, 95% of the enterprises could not determine their strategic objectives and rushed to work, resulting in the lack of follow-up planning; without a clear project priority, they could not maximize the use of resources and technology under a limited budget; in addition, enterprises The industry tends to use digital transformation as a “one click magic tool”, hoping it will take less time, cover a wide range of needs, and have the lowest budget.

All kinds of planning problems lead to the obstacles of enterprise digital transformation.

To this end, singularity cloud’s approach is: using the skott model, from the aspects of strategy, KPI, organization, technology (computing power, data, algorithm), talent, etc., it first makes a preliminary digital transformation status assessment for the enterprise.

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

When the initial evaluation and consultation are completed, the enterprise begins to find out and fill in the gaps, makes strategic moves, and increases the deployment of computing power, while the data is still a short board that is difficult to quickly fill. For example, there are hundreds of millions of rows of data, but we don’t know what we can do with them; half of the collected data are null values, so we can’t use algorithms; we bought tools, but the display data is not available. With the increasing amount of data and the increasing cost of data storage, the problems of data source and data quality cannot be solved all the time. There are still two-thirds of problems to be solved.

Clear the gap and clear the direction

90% of the digital transformation of enterprises is backed by data problems, so how to make up the data shortage?

He Xi introduced that we will use the data evaluation methodology developed by singularity cloud to comprehensively evaluate and diagnose the current situation of enterprise data (including three stages of storage, communication and use), so as to suit the situation and provide accurate services.

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

Our assessment of the current situation of enterprise data includes how the enterprise manages data and how well it manages it (the right half of the above figure), as well as how the enterprise uses data and how well it uses it (the left half). Based on the current situation, to promote the use of universal, to use bandpass, to act under the guidance of clear objectives, to stimulate the use of data and improve the value of data.

In addition, in order to help enterprises become future oriented data companies, singularity cloud also provides “end-to-end big data consulting services” for enterprises.

How to establish a clear and effective data strategy? Do you want to go to data center? How to plan and build data center? How to build data asset management system? How to increase the value of data assets and give full play to business value? New scenarios, new requirements, new questions and traditional consulting methods may not be able to answer.

The first China Taiwan strategic conference, digital transformation of enterprises, how to overcome the data problem?

Therefore, the digital transformation strategy consultation must have the end-to-end (demand end capability end) solution ability. On the one hand, it needs to clarify the needs of the enterprise, on the other hand, it also needs to guide the enterprise to establish the data capacity and implement the digital transformation. For example, how to plan and implement business data based on Star demand, and how to build user data assets based on one ID.

The day before yesterday, singularity cloud released the white paper on the methodology of big data consulting, which condenses the practical experience of big data consulting and data middle office service into a methodology and opens it to more commercial organizations.

Sun Tzu’s art of war says, “know yourself and know your enemy, and you will never lose a hundred battles.”.

The tide of cloud computing, big data and artificial intelligence is sweeping. A series of data consulting and evaluation services provided by singularity cloud really help enterprises understand themselves, clear up the fog, clarify the gap and clear the direction. Then, sail forward.

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