All along, people have been interested in “ Top engineering ” There is a misunderstanding , Think of the so-called “ Top engineering ” It is by the enterprise “ head ”（ for example ：CEO） Led projects . actually ,“ Top engineering ” It's a localization 、 Figurative formulation , It emphasizes enterprises “ head ” Responsibilities and roles in the project . The corresponding English is ：top management commitment（ Top management commitment ） It refers to the advocacy and responsibility of the senior management team for the project , It's a team, not a person , The correct understanding of it should be “ Executive team engineering ”.
The implementation of data governance involves a wide range of business , Many people are involved , The technology is complex and diverse , Therefore, we need strong organization and driving ability to succeed , and “ Top engineering ” It is undoubtedly a tool to break the departmental wall 、 Eliminating information silos 、 What drives the success of the project “ Gold key ”.
Today, let's talk in detail about... In enterprise data governance , How to build “ Top engineering ”！
1、 Enterprise data governance , Who is responsible for data quality ？
In daily work , It may be easier for us to identify the producer of the data 、 Users and managers . however , Once there is a problem with data quality , When it comes to accountability ,“ Who is responsible for data quality ” It often becomes between business departments or between business departments and IT The problem of mutual prevarication between departments .
for instance , When an enterprise counts its inventory , It is often found that ERP There is a difference between the material inventory data in the system and the physical inventory data . The business department will say IT The Department does not provide perfect system functions , Causing data errors , and IT The Department may blame the business department for non-standard operation . in fact , There are many possibilities for this kind of problem , for example ： Duplicate receipt / issue operations of business , The warehouse in and warehouse out records are missing , Inaccurate description of inventory materials , And the location of material inventory is incorrect .
But who should be responsible for solving this problem ？ adopt IT Departments continue to enhance the capabilities of business systems , Can you really solve similar problems ？
When it comes to inventory , It is usually the responsibility of a warehouse keeper to ensure that the inventory quantity is accurate . As part of data quality improvement and control , This may require the establishment of unified coding rules for materials in the system and the implementation of data cleaning , Physical inventory may also need to be relabeled . And these decisions will never become simple IT problem ,IT The Department will not be able to solve .
The right and responsibility determination of data is only a means of data governance , Not the purpose of data governance , What enterprises need to do is to improve data quality and achieve business objectives , Instead of being held accountable for data problems . The focus of the data problem is to prevent , When a problem occurs, it is too late to blame .
The author thinks , Data quality is everyone's responsibility ： Whoever produces is responsible for , Who owns who is responsible , Who manages who is responsible , Who is responsible for . The data producer shall ensure the standardized input according to the data standard ; The data owner should ensure that the data he has is available 、 You can use 、 Can share ; Data users should ensure the correctness of data 、 Compliance use , And the data is not distorted in the process of use ; The data manager shall formulate processes and systems to ensure data quality , And make it effective .
2、 Enterprise data governance , need “ Top engineering ”
The reason why enterprise data governance needs to be built into “ Top engineering ”, In addition to making it easier to determine the right and responsibility of the data , It mainly involves the following 5 There are three reasons ：
First of all , Data governance is more than just a project , It is also a continuous data service —— Data governance as a service . Data governance is a strategic strategy , Not a tactical approach , From the definition of data strategy to the formulation of implementation route , All need the participation of senior leaders of the enterprise and the final decision-making . Senior leaders are the direct participants in the formulation of enterprise strategy , It is also the executor of the implementation of the enterprise strategy , They need to fully authorize the refinement and implementation of enterprise data strategy , We should actively support and cooperate with the work of the executive layer of data governance .
second , Different from traditional information projects , Data governance is an iterative process 、 Comprehensive engineering with continuous optimization . It is not enough for senior leaders to only support data governance projects , They need to be deeply involved , Do a good job in leadership, leadership and exemplary role , Let the business department 、IT The Department is consistent in the strategic direction and objectives of data governance .
Third , Data governance projects cover a wide range , It involves the whole company , It needs the close cooperation of all departments , Cooperate with each other . As long as one department leader is not active , The Department under his jurisdiction may become an obstacle to the implementation of data governance . Only “ head ” Led data governance project , In order to successfully break through the departmental wall between departments , Business wall between business lines , Data wall between information systems , Let information flow more smoothly .
Fourth , Data governance projects have a long cycle 、 A wide range 、 The process is complex , You may encounter a budget readjustment at any time , Reallocate resources , Get all the key stakeholders to work together , And call all kinds of data at any time , The attention and deep participation of senior leaders can help data governance projects take a big step towards success .
The fifth , We should comprehensively carry out data governance , Need data to create 、 collection 、 machining 、 Handle 、 Storage 、 Use each business department involved in each link to actively invest , At the same time, stakeholders in the enterprise need to have a unified understanding of enterprise data governance , Unified thinking , Work together , Concerted action from top to bottom , And all this is inseparable from “ head ” Leadership and support .
3、 Enterprise data governance , How to play “ head ” effect
1. Deep involvement
Data governance is a circular iteration composed of one data governance project after another , A rising pattern , Also called spiral model . The successful realization of every data governance project goal is inseparable from the participation and support of senior management .
As project manager , You should realize that the senior leaders of the enterprise are also an important resource available for the project , need “ The use of good ”. In the pre research of data governance project 、 project 、 start-up 、 research 、 Design 、 The implementation of 、 Acceptance and other key links , The project manager should know what links 、 Which meeting requires which senior leaders to participate , What help they can provide . During the execution of the project , The project manager should take the initiative to report each key step to the senior leaders , And tell them what your goal is , How far is it going now , What's the problem , What kind of help do you need , Let them know the progress of the project and what needs to be improved , This can help them develop a more perfect solution .
As a corporate executive , We should also recognize that data governance is the only way for enterprise digital transformation , Is an important strategy of the enterprise , Need initiative 、 Active participation . And in reality , Due to the working characteristics of senior leaders , And personal energy problems , Often the attention to specific projects is not enough , It has affected the steady progress of the project . What practical ways to focus on the project , Participation in the project , It's actually a very skilled question . For example, listen more to the oral report of the project manager ; When achieving phased results, express congratulations face-to-face or e-mail ; When the project manager encounters resources 、 When there are coordination problems such as manpower , Reply to an email in time . Sometimes it's just an email , But for the project manager, it is an invisible support —— Let the relevant stakeholders of the enterprise know , Leaders are paying attention to this problem .
2. Fully authorized
Data governance projects require business units 、 Mutual cooperation and coordination of technical departments . As the executor of the data governance project , Project managers are often due to authority issues , Unable to coordinate the managers of the business or Technology Department . Data governance projects require senior leaders to give full authorization to the project manager , Only authorization can ensure the effective implementation of data governance policies and actions , And remove obstacles to movement .
The middle and senior leaders of enterprises represent higher authority , There are many flexible ways to authorize the project manager , Sometimes it takes some skill . for example ： Write the rights and responsibilities of the project manager into “ Project Charter ” And issued in the form of official documents ; At the project kick-off meeting 、 Stage report meetings and other public places emphasize the importance of the rights and responsibilities of the project manager ; When the project makes some progress , Give face-to-face affirmation and praise, etc , It's all in the form of Authorization .
3. Bowling effect
Actively encouraging “ to grant authorization ” It can enhance the confidence of the project manager , At the same time, let the relevant stakeholders of the enterprise clearly know , Data governance leader “ It's not a man fighting ”, There is more behind “ head ” Or the support of the senior leadership team , The opinion of the leader represents to some extent “ head ” The opinion of the . This is crucial to the promotion of various affairs of data governance and cross departmental collaboration ！
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4、 Enterprise data governance , Implanting data thinking into corporate culture
Data governance is a long-term system engineering , Need to be integrated into the corporate culture . Resources are going to run out , Only culture is alive and well , When data governance is rooted in corporate culture , Data governance strategies and actions can naturally proceed smoothly . A corporate culture does not happen overnight 、 Easily formed , Often with the enterprise's “ head ” There is a close relationship .
The construction of corporate culture is not just written on paper “ Slogan ”, It's not for employees to keep “ instill ” Can form , It's from “ head ” Summarized and refined from the daily practice of the team .
therefore , Construction of data culture , Not just the need “ head ” Understanding and recognition of , It needs more “ head ” Active participation and support .“ head ” Must be through their own behavior , Practice to influence people 、 Moving 、 Encourage people to , So that “ Speak with data 、 Manage with data 、 Make decisions with data , Use data to guide action 、 Data driven innovation ” Data thinking , Implant corporate culture , Form the values of the enterprise .
Data culture is an innovative culture , Advocate data thinking and innovative methods , Method pair , Yield twice the result with half the effort , Wrong way , The wasted effort .
for example , In order to solve the efficiency problem of accounting processing documents , A public database project was implemented , The project is based on data Lake Technology to integrate sales events 、 Purchase event 、 Production events 、 The accounting information from different channels and systems such as fund events is collected and accessed to the public data platform , Formed around accounting “ matter ” Public big data “ Event base ”. Through the implementation of the project , What dozens of people need to do is now only a few people can complete , Not only does it improve efficiency , Costs are also saved 5 times .
Corporate culture is the highest level of enterprise management , To build a good data culture, we can't just rely on “ head ” It can be done , It requires the joint efforts of all employees .
At work , To form “ Data ” Behavior habits of , Continuously accumulate data required by various businesses ; And learn to “ Tube data ”, Make sure the data is visible 、 having evidence or referent sources 、 Accessible ; meanwhile , You need to learn to “ Using data ”, Data driven business , Improve efficiency 、 cost reduction , Create value for the enterprise .
Write it at the end
Data governance is the strategy of enterprise strategic layer , and “ head ” It is a direct participant in the formulation of enterprise strategy , It is also the executor of the implementation of the enterprise strategy .“ head ” The refinement and implementation of enterprise data strategy need to be fully authorized , We should actively support and cooperate with the work of the executive layer of data governance .“ head ” We should do a good job of motivation , Help the executive layer break through the obstacles to the implementation of data governance strategy . actually , Data governance projects have only “ head ” Our support is not enough ,IT department 、 The project manager must communicate with “ head ” Keep the strategic direction and objectives consistent .
The cycle of data governance project is long 、 A wide range 、 The process is complex , You may encounter a budget readjustment at any time , Reallocate resources , And through the cooperation of all key stakeholders , And may call all kinds of data at any time , and “ head ” The focus and deep participation of the data governance project is a big step towards success .
Last . I used to ERP speak “ Top engineering ”, Now engage in data governance 、 Digital transformation also talks about “ Top engineering ”. Actually , Talk or not “ Top engineering ” It's all bullshit , In fact, all projects involving enterprise change , No, that's missing “ head ” Supported by . The key is to sort out the needs “ head ” Support what , How to support ！
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