What does enterprise digital management cover?

The first thing to do is data collection and integration.

We are faced with a large number of accumulated internal data, and the quality of data at different stages is uneven; At the same time, there are a lot of external data, so how to obtain and use it and how to integrate it with internal data to play its value is very important. There is also a key issue here, which is the legitimacy of data use. The big data industry is mixed, and the phenomenon of illegally buying and selling user data has been repeatedly banned. China Consumers Association once published a report. Of the 100 apps surveyed, 9 1 were suspected of over-collecting personal information.

Frequent privacy incidents also show that the protection of personal privacy is too weak at present. We must make clear the boundary between the use of big data and personal privacy, and there are clear laws to regulate between opening information islands and protecting citizens' personal privacy. Here, as practitioners in the big data industry, we also call on the society to complete data privacy legislation as soon as possible to protect the personal privacy of each of us, and at the same time let data users try data legally.

The second aspect is to improve data quality.

It is aimed at a large number of internal and external data, how to continuously improve the data quality. This involves the field of data governance. Through technical means, we can find out the ins and outs of data and past lives, constantly find data problems, standardize data standards, and constantly improve and improve data quality.

The third aspect is the value of mining data.

With high-quality data, we must fully tap the value of data. Traditional BI technology combined with artificial intelligence can realize more automatic and intelligent data analysis and application and assist decision-making.

The fourth aspect is to optimize the enterprise structure.

That is, if the above achievements are applied to truly realize the goal of digital transformation, that is, to promote the innovation of business model and optimize business and management.

At this stage of development, data analysis and data governance are two links that people pay more attention to. Data governance will provide enterprises with more comprehensive and accurate data, while data analysis will provide data support for business decisions, turn data into information, help enterprises turn information into decisions, turn decisions into actions, and turn actions into more efficient business operations, thus increasing the competitive advantage of enterprises.