7 steps to effective data governance
Posted: Tue Jan 21, 2025 5:06 am
The main objective of data governance is to ensure that company information is 100% reliable and valid. Find out how to achieve effective data governance
The main objective of data governance is to ensure that all the information handled by a company is 100% reliable and valid in any context. Is your company really mastering its own data governance ?
Simplicity, accessibility and security are variables that are consolidated through data governance, but it is necessary to know how to put all this into practice. Governance requires more than restricting access, it requires ensuring that people use data in a consistent manner.
7 steps to successfully implement data governance
The value of data is limited by the ability of users to fantuan database and trust it. To reverse situations of mistrust, companies can implement data governance guidelines and these are the fundamental steps to achieve this:
Step One: Establish Who Will Be Responsible
First of all, it is necessary to designate one or more people in charge of managing data governance control. Those responsible for this will be the process leaders and those who will ensure that everything works correctly, making the appropriate decisions until the previously set objectives are achieved. Typically, these people have extensive knowledge of IT and are part of the company in a position of responsibility.
You may be interested in reading:
Business innovation and other benefits of Data Governance
Second step: What will our goals be?
Once you know who is going to be responsible, the next step is to set the goals you want to achieve in order to achieve success. These goals have to be positive, remembering that the objective is always going to be the growth and development of the company. The goals must also be defined thoroughly so that they can be easily measured and are specific. It is not advisable to set general goals; each part of an organization will always need a specific objective.
Step 3: Defining metrics
Metrics play a very important role, without them it will not be possible to know if the program is working or if it is achieving the previously established objectives. To carry out this step, a specific indicator must be defined that is essential in terms of providing an answer to the process of how these goals are being achieved.
Step Four: Define Policies
It is time to make decisions, and it is necessary to know that sometimes you have to be quick and concrete. That is why it is advisable to have one or more people who have enough authority to do so. This is what led to the first point of choosing the rulers.
Step five: communicate policies
Whatever method is chosen to establish policies, it is very important that they are communicated so that everyone is aware of the decisions that have been made. Communication of policies can be done through different means (email, document or even verbally) but it is essential that the dialogue is fluid and clear.
Step six: measure results
Measuring allows us to know first-hand whether the established goals have been achieved or whether there is still a long way to go. Of course, it must be taken into account that these objectives are not always achieved 100%, so it is likely that changes will have to be made continuously.
In a digital-first world, maturity is achieved with effective data management
Step 7: Conduct audits
This is a key process through which we will know which aspects of this data governance program have worked and which have not. It is advisable to carry out audits periodically and analyze why things happened, as well as clarify what the reasons were, whether positive or negative.
Data governance is not just a technological issue, working collectively and synchronously is never easy, but if you manage to organize yourself by anticipating all these variables that were previously developed, the process is easier. It is important to create a working system, involve people and encourage the necessary type of behavior.
The main objective of data governance is to ensure that all the information handled by a company is 100% reliable and valid in any context. Is your company really mastering its own data governance ?
Simplicity, accessibility and security are variables that are consolidated through data governance, but it is necessary to know how to put all this into practice. Governance requires more than restricting access, it requires ensuring that people use data in a consistent manner.
7 steps to successfully implement data governance
The value of data is limited by the ability of users to fantuan database and trust it. To reverse situations of mistrust, companies can implement data governance guidelines and these are the fundamental steps to achieve this:
Step One: Establish Who Will Be Responsible
First of all, it is necessary to designate one or more people in charge of managing data governance control. Those responsible for this will be the process leaders and those who will ensure that everything works correctly, making the appropriate decisions until the previously set objectives are achieved. Typically, these people have extensive knowledge of IT and are part of the company in a position of responsibility.
You may be interested in reading:
Business innovation and other benefits of Data Governance
Second step: What will our goals be?
Once you know who is going to be responsible, the next step is to set the goals you want to achieve in order to achieve success. These goals have to be positive, remembering that the objective is always going to be the growth and development of the company. The goals must also be defined thoroughly so that they can be easily measured and are specific. It is not advisable to set general goals; each part of an organization will always need a specific objective.
Step 3: Defining metrics
Metrics play a very important role, without them it will not be possible to know if the program is working or if it is achieving the previously established objectives. To carry out this step, a specific indicator must be defined that is essential in terms of providing an answer to the process of how these goals are being achieved.
Step Four: Define Policies
It is time to make decisions, and it is necessary to know that sometimes you have to be quick and concrete. That is why it is advisable to have one or more people who have enough authority to do so. This is what led to the first point of choosing the rulers.
Step five: communicate policies
Whatever method is chosen to establish policies, it is very important that they are communicated so that everyone is aware of the decisions that have been made. Communication of policies can be done through different means (email, document or even verbally) but it is essential that the dialogue is fluid and clear.
Step six: measure results
Measuring allows us to know first-hand whether the established goals have been achieved or whether there is still a long way to go. Of course, it must be taken into account that these objectives are not always achieved 100%, so it is likely that changes will have to be made continuously.
In a digital-first world, maturity is achieved with effective data management
Step 7: Conduct audits
This is a key process through which we will know which aspects of this data governance program have worked and which have not. It is advisable to carry out audits periodically and analyze why things happened, as well as clarify what the reasons were, whether positive or negative.
Data governance is not just a technological issue, working collectively and synchronously is never easy, but if you manage to organize yourself by anticipating all these variables that were previously developed, the process is easier. It is important to create a working system, involve people and encourage the necessary type of behavior.