"Core engine" of Technology

The concept of enterprise digital transformation that has attracted much attention , Under the new normal of COVID-19 , It has become a generally recognized development direction in all walks of life . Whether it is traditional large and medium-sized enterprises , Or a start-up that strives to innovate , Are actively carrying out digital practice to build new business models and scenarios , Change for survival .

Data center — Enterprise digital transformation “ The core engine ”

This transformation “ Track ” There are many entrances , But to really succeed in finishing the race , What is the most critical ？

We all know , Digital transformation needs to solve three problems —— Connect 、 data 、 intelligence , And one of , Data is enabling business and management , The foundation of creating value for enterprises .

To better mine the value of data , We need a powerful data center to break the traditional enterprise organizational structure IT And business barriers , Fully integrate the originally complex and scattered data islands , Eliminate the need for cross departmental transmission of business data , And carry out digital intelligence operation in combination with high-performance algorithms , Directly transform the data analysis results based on technology into business optimization schemes .

For businesses , Based on data, the platform can realize products 、 marketing 、 Global closed-loop analysis from the perspective of customers , Realize the insight and prediction of business and operation , Put data like this “ Means of production ” Turn into data that continues to increase in value “ Productivity ”, So as to continuously promote the optimization of enterprise business model and business innovation .

From this perspective , The data center can be said to be the foundation of enterprise digital transformation “ The core engine ”, It is related to the success of digital transformation , In particular, traditional enterprises that have carried out a large number of information construction are more obvious in this regard . in fact , This has also become the consensus of many large and medium-sized enterprises .

In the first year of scientific and technological data, Zhongtai , All for “ Smart operations ”

The role of data center in the process of enterprise digital transformation is so important , Therefore, many manufacturers in the industry have entered this field , On the premise that the overall goal basically converges , Each has its own emphasis .

Yuannian technology, who has rich experience in this field, believes that , The best way for digital transformation is to realize digital intelligence operation , If you want to operate scientifically 、 Efficient , The task of the data center is very clear , Is to make data application more agile 、 More accurate 、 More intelligent .

To meet this goal , The whole data center not only needs to have data governance 、 Data calculation 、 Data modeling 、 Technical functions such as data processing , It is more necessary at the business level , Have the ability to carry out multi-dimensional data insight , From operation monitoring and analysis 、 Scientific and rapid decision-making 、 Management and control of business rules 、 Efficient collaborative execution 、 Intelligent operation and other aspects , Help enterprises realize real digital operation .

Follow this line of thinking , In the first year, technology launched its own data platform product architecture . The whole system needs many key data functional components through the digital transformation of enterprises , Including data services 、 Digital intelligence operation components 、 Index system 、 Label system 、 Multidimensional decision modeling 、 Data development 、 data storage 、 Data integration 、 Data asset management 、 Platform management , The function matrix of the data center .

Seemingly complex function matrix , If we analyze it from the perspective of data operation process , In fact, it can be divided into three parts .

among , Data governance related functions are the starting part , It plays a role in providing consistent and identifiable data for digital business scenarios ; The intermediate data processing related functional components , The main task is to store unstructured and semi-structured big data 、 Handle 、 modeling , And transmit to the application layer ; Key data assets and application layers , It is the main position for data application , It is also the business innovation of enterprises 、 The support of business upgrading .

In the Middle East: , What's more special is “ monitor 、 Decision making 、 command 、 Strategy ” These four digital operation components . Through these components , Enterprises can set up a monitoring center for digital intelligence operations based on the data center 、 Decision center 、 Command center and Strategy Center , formation “ Four centers and one platform ” Core operational capabilities . here , The data center is the connection hub of the four application centers , Data driven “ Four centers ” With the help of high-quality available data in the data center 、 Strong data processing capability and high scalability , Realization “ plan - monitor - evaluation - plan ” The complete closed loop of , Promote the reform of digital intelligence management , Drive data empowerment and digital transformation .

This is the special point emphasized by the platform in the first year of scientific and technological data , Behind the rich and complex functions , The core is still “ operating ”.

Multiple dimensions that measure the level of data

In the tide of digital transformation , As a competition “ engine ” Whether the data center of can really play a role , Help enterprises take the lead , Not only depends on the design idea , It depends more on its “ Manufacturer ” The overall strength of .

The first year of technology with rich experience in the field of digital transformation , Rely on deep insight and experience in enterprise management , Rely on management consulting 、 The ability to integrate data governance and data platform construction , We also have enough say in the data field .

In the mind of science and technology in the first year , Judge whether the data is advanced or not , In addition to industry experience , You can also learn from technology 、 Comprehensive consideration of multiple dimensions such as products .

For example, at the technical level , The core competence of science and technology in the first year , It is enough to support the function and performance of data products . First year TABASE Memory multidimensional computing engine , Performance achieved 1 Billion data 3 Seconds to complete the aggregation , It can calmly deal with the diversified big data processing work of large enterprises ; And the first year of science and Technology ESC Development platform , Let the data center realize low code visualization , Let users drag and drop 、 Simple operations such as parameter configuration complete data collection 、 Storage 、 machining 、 Most of the work used , Make digital intelligence operation simpler and more efficient .

And in the final product presentation , From the perspective of user needs , Help enterprises create a more efficient and easy-to-use data middle platform system from many aspects .

The first is data processing . In the first year of science and technology, digital media supported diversity , High performance distributed storage and exchange of massive data , And through real-time end-to-end data flow , Series enterprise design 、 production 、 Data of logistics, service and other links , Then with the help of a clear data map , image 、 Intuitively display the data and its relationship , Convenient for users to discuss 、 Explore the essence 、 Find the problem . This series of advantages means a more reliable premise for the digital intelligence operation of enterprises .

In the first year of scientific and technological data, the number of management objects that Taiwan can achieve is twin , As well as the preset enterprise management in the platform AI Algorithm , It makes the intelligent operation of enterprises more detailed 、 More scientific . Enterprises can manage target people through the platform 、 goods 、 matter 、 Time 、 The index and label system of information construction , Match with AI Algorithm , Conduct more detailed business simulation and strategy analysis .

meanwhile , Data management ability is also one of the advantages of the first year's scientific and technological data center . The data assets in the stage of the first year's scientific and technological data , The business is encapsulated by a unique label system , And present it to users in a unified way of data service , Such as asset selection 、 Directory hook 、 Tag definition 、 Fast positioning, etc , So that users can understand and use the data easily 、 On demand on demand .

Besides , The low code visual development mode mentioned above , So that developers can not care about the implementation details of technology , Focus only on the business logic itself , You can even complete the development in the way of zero code graphical drag and drop , This makes it easier to expand and upgrade the platform in the first year of scientific and technological data , Users' application threshold is also lower .

Conclusion

As a necessary means of data enabling business , Data application has entered a development period . Although the market has many different views on the data center , But on the whole , Data processing is more diverse 、 More intelligent 、 The upper application is more convenient 、 Development in a richer direction , It is still the future development direction of data center . With the acceleration of enterprise digital transformation , Play a “ The core engine ” The data center of the function , It will also continue to improve and upgrade its technology and functions , Provide more possibilities for the digital intelligence operation of enterprises , Provide more impetus for transformation .

It's worth being one , In the lifting data center “ engine ” At the same time of ability , If you want to “ Run win ” Digital transformation track , Like the power of a good car 、 Direction control 、 Navigation system is equally important , Enterprises also need to start with other links , From business 、 Industries and other different levels to strengthen the ability of digital transformation , You even need someone who can understand the business and industry well “ The driver ” To harness , So as to find the right direction , Get to your destination faster .

This is also the advantage of science and technology in the first year , In addition to providing relevant products and solutions , Yuannian technology also has rich industry experience and consulting ability , Can play many different roles in the process of enterprise transformation , Help enterprises complete more smoothly “ Digital journey ”.

Data download ： The white paper of the ark data in the first year ; Ark low code platform white paper in the first year ; First year · Ark enterprise digitalization PaaS Platform white paper