In the digital transformation of enterprises, what are the benefits of big data modeling and analysi

Hello subject, as far as I know, the specific benefits of big data modeling are as follows: 1. Forming user portraits based on big data and obtaining user preferences and usage habits can make the company's products more competitive. 2. Improve consumer experience and customer viscosity through customer precision marketing, increase sales and enhance the image of corporate brand.

3. Through data mining and scientific research on this basis, we can find out the shortcomings or management loopholes of the enterprise in time and reduce the loss of the enterprise. 4. Use data feedback to guide the next round of product design direction of the enterprise, which is conducive to the product innovation of the enterprise.

Digital transformation is first of all the transformation of thinking, improving the awareness of all employees of the enterprise, especially the middle and senior management, changing the thinking to be guided by customer needs, taking data as an asset, taking technology as a means, and relying on talents to build a new technology platform system to support business innovation and meet customer needs.

The digital transformation of enterprises is best to seek the domestic leading high-tech enterprises in the field of intelligent manufacturing and industrial Internet to collaborate, and Tiantuo Sifang has a relatively successful case, they have rich best business practices and management experience, and comprehensively build and deploy the company's DEPC (digital engineering general contractor) strategy.

I think that digital transformation itself is not technically difficult, but the enterprise itself

One is that enterprises do not have a clear definition of the direction of digital transformation;

On the other hand, it is not possible to use a strict and correct goal execution process to achieve the right goals.

Problems that may be encountered in the digital transformation of enterprises, the digital transformation of enterprises belongs to the modern concept of innovation, and innovation will contradict the old concept, such as older people, who are not accustomed to digital operation in terms of operation and thinking. This will increase the resistance to the digital transformation of enterprises, so it is necessary to let the vast majority of people adapt to digital transformation in terms of thinking and operation.

Many enterprises are now carrying out digital transformation, such as Tianling, which is itself doing BPM process management platform to help some governments and enterprises also do digital transformation.

Our company used to cooperate with Tianling, using their platform and is still using it, technology depends on precipitation, when I just started to choose the model, I don't know how to choose, just choose these manufacturers with many experience and many cases, don't look at some manufacturers who say it is fanciful, in fact, they are bragging, they choose according to their own situation, to experience, to test, yes.

One. Enterprises are less willing to pay for intangible knowledge such as "software" and "consulting", and often only focus on the functions of the product itself, while ignoring the role of customized consulting, which is an important reason why many enterprises think that the effect of digital transformation fails to meet their expectations after making high-cost technology investment. Two. In the process of digital transformation, enterprises often choose various tools and platforms to "seek innovation" and "perfection", and less than half of the functions of the software put into operation by many enterprises are often used, which not only causes great cost waste, but also causes a lot of trouble to users. Three.

As the executor of digital transformation, the strategic position of the IT technology department in the enterprise has not been improved as it should be, and its resources and collaboration needs are often not fully valued. On the other hand, it is often the management that has the decision-making power over the software and hardware that supports the implementation of the transformation, placing more emphasis on KPI construction and ignoring the needs of tool users for "convenience and efficiency". This will not only reduce the operational efficiency of enterprises, but also reduce the enthusiasm of employees to participate in digital transformation. Four. "Digital transformation" is not the fundamental purpose of enterprises, but should be used as a way to achieve the survival and development of enterprises.

Chuangluo Technology believes that many enterprises even define digital transformation as a project to implement, blindly seeking speed and perfection, which not only loses its true value, but also leads to a rapid pace of transformation, and a significant reduction in the compatibility with upstream and downstream partners and even target customers. In the early stage of digital development, most of the participants were large enterprises, and their choice was top-down system reform, with the main purpose of breaking down data silos and achieving leapfrog improvement. With the development of digitalization, enterprises have gradually realized the necessity of digital transformation, and in the process of implementing digital transformation, the development direction and strategy of large enterprises also need to be constantly adjusted and updated, and various departments continue to expand their digital capabilities. Although small and medium-sized enterprises do not have sufficient human and financial resources and thinking technology to make comprehensive improvements, they hope to use digital tools to solve their needs and pain points, and achieve cost reduction and efficiency increase.

Since entering a new historical period, collecting richer data is the main task in front of each enterprise, once the enterprise can not collect a wider range of information, then the enterprise management decision-making is very prone to more mistakes. Enterprises should pay attention to internal data and information management to ensure that the current data management is consistent with the characteristics of the big data era. First, since entering the era of big data, due to the emergence of countless data information, if the traditional data information management technology can not be changed in time, it is very likely to affect the application of big data, so the current enterprises must introduce advanced software and hardware in time to promote the universal application of big data.

Second, due to the massive emergence of data information, enterprises also need to continuously improve the management ability of data information, to ensure that all kinds of data and information obtained from timely processing and processing, and to grasp the latest data in a timely manner. Many enterprises have realized the importance of information and data, but because they do not have advanced technical measures, all kinds of data and information cannot play their due role. Third, in the process of enterprise management decision-making, although big data plays an irreplaceable role, but also need to pay attention to the role of data fragments, a buried enterprise to succeed must pay attention to the application of two kinds of data, in order to make the two kinds of data coordinate with each other, to ensure that data analysis has a higher scientificity, to further simplify the analysis process, reduce the labor intensity of staff.

Enterprises also need to innovate internal knowledge management in a timely manner, and introduce a new knowledge management model as soon as possible. In the actual operation of wild spring ants, knowledge management is actually data management. When enterprises make management decisions, knowledge extraction is an indispensable process, and only by vigorously applying various knowledge can the most reasonable decisions be made.

At present, due to the influence of big data technology, people are increasingly aware of the importance of knowledge, and many enterprises currently put the construction of a modern knowledge management model in an important position and attach great importance to knowledge management. At the same time, enterprises should not rely too much on the application of big data, and ignore the importance of subjective decision-making, to ensure that the two are coordinated and mutually promoted, in order to help enterprises make correct decisions.

Digital transformation must be based on data. According to the author's years of tracking the results of relevant research in the industry, the level of data management and application directly determines the level of enterprise informatization development (over the years, many units have invested a lot in informatization, and each purchase is also the most advanced information technology at that time, but the information accumulated over the years is often a family ugly, and the investment in software and hardware is often rapidly depreciated. However, a large amount of stock data cannot be satisfied due to low quality, which is the structural contradiction that every unit is facing in the current stage of digital transformation "business data", technology can be someone else's, data is caused by itself anyway, and the quality of your own data is not good, no matter what, outsiders can't help you govern and solve it, so we say that this ladder of digital transformation and upgrading, the pit in front and the hurdles above are the thresholds that each of our organizations cannot bypass to move towards "data assetization, businessization, and monetization". Or can only climb up step by step. Therefore, no matter what we want to do with data, the ability to learn data is a basic skill, just like in the past, with the popularization of private cars, so that driving cars from a driver's profession to a daily skill, the ability to learn data will also become a general knowledge for all people with the popularization of digitalization, and the digital transformation of the organization is the work of all employees, and as a general knowledge, what valuable things employees can learn from digital friends is the most basic digital ability.