From today's perspective, the ups and downs are a very suitable evaluation for the data middle platform. What it means is that the data middle platform can become popular across the entire network overnight and become a "magic weapon" for enterprises in various fields to strive for planning and construction. It is because the data middle platform will also lose its halo in a very short time and become a "scattered rib" with various restrictions. However, as a new concept proposed by Alibaba , the data middle platform itself does not have much historical accumulation and development history, so it is natural that this situation occurs.
However, this change in various views on the data middle platform is not necessarily a bad thing, because this debate between different views will allow the data middle platform to find a suitable direction and continue to develop and improve over time, so that the construction of the data middle platform can be applied to appropriate scenarios. Back to the topic, the data middle platform has experienced the booming construction, but in a blink of an eye, I heard the desolation of demolishing the middle platform. Between the hot and cold, the data middle platform has begun to return to its real value, that is, to provide roles for enterprises based on needs. At the same time, digital transformation has become a strategic direction for institutions, enterprises and even countries. In the new path, the data middle platform has become a place to be used. Many companies have also begun to seriously think about the value of the data middle platform and explore the significance of the data middle platform to enterprises.
The birth of the data middle platform
With the advancement of informatization and digitalization, enterprises have applied a large number of business systems for different departments, business lines, etc. On the one hand, these business systems have achieved the optimization and transformation of business processes, and on the other hand, they have accumulated a large amount of business data in the system database. Everyone should know that in the current era, these data are the assets of enterprises, so enterprises need to use these data in various ways, which lays the foundation for the emergence of the data middle platform.
Data Assets - Paike Data Business Intelligence BI Visual Analysis Platform
Reducing the value of data assets to enterprises has brought a lot of additional benefits. For example, data visualization can provide various visual reports with the help of data, which provides great help for business development and corporate decision-making. However, with the development of enterprises, what is needed is more data utilization. Data visualization consumes more manpower, time, energy, etc. for repeated data visualization design. Although it also provides a large amount of value conversion, this situation needs to be changed in an environment that emphasizes increasing efficiency and reducing costs.
So after more and more repeated processes and operations, resulting in a lot of waste of resources and duplicate functions, enterprises in various fields began to think about how to solve this problem. So many people are curious about why the data middle platform began to become popular overnight after it was proposed by Alibaba, and they don’t understand why a new concept can be so popular among so many people.
Data Visualization - Paike Data Business Intelligence BI Visual Analysis Platform
Although the popularity of the data middle platform does have Alibaba's influence, the other reason is that many companies have been troubled by this problem for a long time, but there is no solution to the problem. Now Alibaba's middle platform strategy has emerged. Don't bother with the data middle platform, at least it can solve this problem. Even if the construction is not carried out, you can refer to it for optimization. Maybe companies will launch more complete products in the future.
The value of the data middle platform
It can be said that the birth of the data middle platform is to deal with the problems faced by enterprises, which is the meaning of the data middle platform. The advent of the digital age has really changed the entire society to a large extent, and the pursuit of efficiency has also made companies more and more matters need to handle. At the same time, the intensity of competition in the market is constantly increasing, and user demand is changing with each passing day, and enterprises need to change to keep up with this pace.
Business Intelligence BI - Paike Data Business Intelligence BI Visual Analysis Platform
In addition, although a large amount of business systems built by enterprises for different departments and business lines have accumulated a large amount of data, these data are deposited in different systems, making it difficult to realize the shared circulation of data, which is what we often call the " data island " and "information island" problem.Of course, this is not something that companies can accept. These problems will actually affect the development of enterprises. Therefore, business intelligence BI has become more and more popular in recent years, and many companies have only deployed lighter and lower-cost business intelligence BI.
The concept of the data middle platform is still very good. Its essence is to use data assets more flexibly and agilely, make the data move and play a greater value. On the one hand, the data middle platform can unify data, realize standardized data management, sort out data assets that can be called flexibly. On the other hand, enterprises can also maximize the role of these data assets, reuse them through data services, and solve duplicate processes and operation problems by calling these data services, reducing cost losses, and improving overall efficiency.
Data Visualization - Paike Data Business Intelligence BI Visual Analysis Platform
Under the situation of market change, enterprises have greatly improved their response speed to market demand through the data middle platform, and can provide products from R&D to the market according to demand, improving market competitiveness. And in recent years, with the continued epidemic, many companies have felt the pressure of losing costs, which is actually the cost reduction brought about by data middle-end reuse. However, companies may have considered less in the past, and when pressure comes, the data middle platform can exert its strength.
Of course, the construction of the data middle platform itself still requires resources. Before choosing a data middle platform, you must sort out your own needs and judge whether it has a sufficient effect on the development of the enterprise. Now some companies have worked hard to build a data middle platform, but at first glance, they all do things that can be solved through business intelligence BI, which cannot maximize the effectiveness of the data middle platform.
