Also on Data Governance

1. The concept of data governance

Data governance , For enterprises with data , Is a very important content . Data governance , Why is it important , Because of the present , Data has become an important asset , It is the organization that manages 、 Important titles of production and action .

The author combines various materials , Define data governance as follows ： Data governance refers to ensuring data security 、 Reasonably owned 、 accuracy 、 Available and easy to use all the operations performed . It includes actions that people must take 、 The process that must be followed and the technology that supports it throughout the data lifecycle .[1]

In this sense , Any organization with data , There will be data governance , But the level of data governance can be divided into high and low . The level of data governance , Reflected in the convenience of data use , And the security of data use .

2. Key points of data governance

Generally speaking , Data governance involves two points ：（1） Whether the data is convenient to use ;（2） Is the data safe . These two points , Is the core of data governance . I also read many blog posts about data governance , But in fact, for organizations , The core of data governance is still to use data and ensure data security .

2.1 Convenience of data use

Convenience of data use , It is the foundation of data governance . For organizations that use data , If the use of data does not bring convenience , It means that it is impossible to carry out data related work ; Corresponding , Data governance is out of the question .

Use of data , It must bring convenience . On the basis of convenience brought by data , What can be done is ：

（1） Let data bring more convenience ;

（2） Ensure the integrity and smoothness of data , Avoid data islands ;

（3） Read data for sorting and cleaning .

2.2 Data security

Another key point of data governance is security . Only safe use data , Data can be really valuable .

Data security is not equal to everything , Or nothing . The key points of data security actually need to reach two points ：（1） It is convenient for users to use ;（2） And don't let unsafe things happen 、

The rules of data security are ：

（1） Macro and overall security ;

（2） Decentralized security .

These two rules are complementary . Macro and overall security is the foundation ; Outside the organization , Data will not be arbitrarily encroached ; The preservation and security rules of basic data are long-term and persistent . meanwhile , The data belongs to the company as a whole , Sub departments and authorities are managed by different departments and authority owners . When using data , Different departments and permission owners need to use data according to rules .

It is precisely because the data is used by different departments and different permission owners , Use according to reasonable rules , To make the data have governance attributes . The word data governance , More accurate .

3. Implementation path of data governance

How to realize data governance , In fact, it is the content that data ownership organizations are most concerned about .

Generally speaking , The idea of data governance implementation is ： In standards and safety 、 Under the two basic rules of quality , By the basic hardware facilities 、 Build a data governance platform , And then to establish good data governance rules and core systems .

Based on this method , The structure diagram of data governance is generally as follows ：

Among them , Let the data become unobstructed , Establish reasonable data usage rules , It's the most important thing .

Of course , In practice , Be sure to pay attention to ： Data governance for organizations , It is a redistribution of power . This actually means ：（1） Data governance has always been the number one project ;（2） Direct person in charge of data governance , We must have reasonable coordination ability , Coordinate the parties , And finally establish data governance rules .

4. Misunderstanding of data governance

The main misunderstandings of data governance are as follows ：

（1） Think data governance is not important . actually , Data governance is important . Any organization with data has data governance . Under normal circumstances , Organizations with a high level of data governance , Its efficiency and security are higher .

（2） Think data governance is the most important . actually , Data governance is efficiency improvement , But the premise is efficiency .

（3） Different departments in the organization regard their own data as their own “ Private land ”, Information islands exist widely ;

（4） Rule unification of data governance . But in fact , There is no unified data governance rule . But making data efficient and safe is the fundamental purpose of any organization to improve data governance .

（5） Think that data governance can be done once and for all . actually , Data governance is always on the way .

5. The technology involved in data governance

The technologies involved in data governance are generally as follows ：

（1） Database technology . The foundation of data governance is data , The carrier of data storage is generally database . At present, the mainstream databases are Oracle、MySQL、SQLServer、HBase、MongoDB etc. .

（2） Data encryption technology . Data encryption mainly includes encryption algorithm , There are mainly symmetric encryption and asymmetric encryption . The data encryption algorithm is generally RSA、MD5 etc. .

（3） Data analysis technology . Data analysis technology generally refers to the analysis of data usage , So as to make the data efficient . Common data analysis techniques are common statistical methods and machine learning methods . The tools of data analysis technology are Excel、Stata、EViews etc. .

6. Improvement and continuous optimization of data governance

Data governance needs continuous optimization and improvement . The improvement and continuous optimization of data governance should clarify the following rules ：

（1） Clarify the rules of data governance ;

（2） Make continuous improvement .

Reference material

[1]https://cloud.google.com/learn/what-is-data-governance?hl=zh-cn

[2] How to do data governance ？ This long article has finally made it clear ！ - You know

[3] Data governance tools and solutions | IBM

[4] What is encryption ？ Definition of data encryption | IBM