Data island is the first danger encountered by enterprises in their digital transformation

In the society, information technology continues 、 In the process of digitalization , Data, as the core element interspersed among them, has continuously improved its status in society , And gradually become a person 、 Institutions 、 Enterprises 、 Regional and even national strategic resources . The present era , The total amount of social data is even more than thousands in the past 、 Tens of thousands of years of data 、 The sum of the amount of information , The value it produces naturally cannot be underestimated , This is why data is gradually valued 、 Capitalize , And become part of the infrastructure .

However, although the data has grown into the fifth largest factor of production , But there is one thing you should keep in mind , Data can only generate value , Not data equals value . Some people may be strange , It's easy to understand , It has long been predicted that the future is the era of data processing , Now it seems that this sentence has a thorough understanding of the concept of data , Data can only be transformed into information and knowledge after processing , Can be used by humans . But it's also because of this , Led to the emergence of data islands .

What is a data island

Data islands generally refer to data sets that are accessible to only some people , It didn't matter , But the problem is business development 、 Management decisions need to master most , Or all the data can be analyzed 、 mining , Make the final decision . And the data island directly makes it difficult for others to obtain this part of data , It will not only lead to data waste , It may even make enterprises unable to handle abnormal data , Can't solve the problems found , Let the enterprise development into trouble .

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A simple example , Enterprises are in the process of transforming from traditional business model to business information construction , Will be for sales 、 operating 、 financial 、 Different departments such as human resources should build corresponding business information systems , Standardize the business process 、 Standardized treatment , Greatly improve business efficiency , And reduce manpower 、 Time 、 Cost of energy , A large amount of business data is also stored in the background database of the business system .

Business informatization can be said to be the construction of enterprise informatization 、 The first step in the path of digital transformation , After the completion of the construction, the natural effect is very remarkable , But the business system also led to a problem , That is until 2022 Data island that still involves the energy of enterprises in . Because business information system and business department are corresponding , Therefore, the data of each department are stored in different system databases , These data are difficult to achieve dynamic circulation in enterprises , Cannot be analyzed uniformly 、 mining 、 Handle , As a result, business systems are like isolated islands , Located in the boundless sea , There is no synergy between them .

What's wrong with the data island

In fact, in the process of explaining what is a data island, it also explains the problem of the data island itself , After all, it is easy to think of data islands even in the literal sense , So conceptual things are not repeated , A simple example .

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Take the business development that most enterprises value most , All departments do not communicate with each other because of data , It's easy to have a problem , The reason why the abnormal business data cannot be found , Waste a lot of time researching department employees 、 After business situation , Busy making adjustments , It is not only ineffective, but also frustrates further business development .

Actually , The abnormal business data may not be the problem of the Department , For example, sales will be affected by operation 、 The impact of the market sector , Production is subject to procurement 、 The impact of the R & D department . If the situation of other departments , Wrong adjustment has been made to the business of its own department , It will waste manpower 、 Time 、 Energy, etc , Affect the business development of the enterprise .

There are many reasons for enterprises to break the data island , For example, it is difficult to fully understand the overall development of the enterprise 、 Failure to unify data indicators leads to data complexity 、 The systems of all departments are isolated and unable to cooperate and communicate , In fact, in the final analysis, data is becoming more and more important nowadays , All problems that affect the value of data should be solved , The same is true of data islands .

How to solve data islands

First of all, data island is actually a common problem that most enterprises will encounter in the early stage of information construction , If you want to solve the data island, you can continue to adhere to the road of information construction , Proceed to the next stage , That is what we often call the data informatization stage , At this stage, data islands can be solved , And let enterprise data gradually play its value , Become an enterprise asset .

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In the stage of data informatization , Enterprises generally deploy business intelligence BI And other data technology solutions . business intelligence BI It is an important plan for most enterprises to break through the blockade of data islands , business intelligence BI The data warehouse can be used to store the data in the database of each business system , And pass ETL And data model to classify and grade the data , It is stored in a large database in the form of indicators , Solve the risk of data island , Show the overall development of the enterprise from a comprehensive perspective .

Besides , business intelligence BI It can also provide data visualization reports , Use drag and drop to realize data visualization , And through data visualization analysis, comprehensively show the development status of the enterprise , For example, sales analysis 、 Operational analysis 、 Production analysis and management cockpit required by management personnel 、 The core KPI Show, etc , Track business execution results , Recheck according to the historical data report , Promote the healthy development of business , Assist in management decision-making, etc , It is an important tool to solve the problem of data islands .