It is no secret that companies have always used data to achieve their objectives.
However, over time, the way they are used and the importance they have for companies has increased
significantly.
An important aspect that affects data management is digital transformation . Because
technological advances are the main reason for changes in the perception and use of data, companies
have been forced to adapt. What does this mean?
Well, digital transformation has been a change that organizations have had to make in
order to survive and remain competitive in today’s markets.
Nowadays, information is one of the most valuable assets and if a company wants to be successful,
having, valuing and caring for its data is of vital importance to achieve this goal.
Below, we will explain what data governance is, why it is important and how it is implemented. Don’t
miss it!
What is data governance?
Data governance is nothing more than the philippines telegram data ability of an organization to
implement policies and methods, technological and human resources to manage its data assets and
thus ensure their availability and protection.
It is important to note that for a data governance program to make sense, companies must consider
data as assets.
Considering data as one of the most important assets of a company makes all projects carried out
effectively.
You may be wondering why data and having a defined data governance program are so important.
For data assets to be useful to your organization, your sources must be reliable. That is, their origin
must be known, they must be truthful, they must be up-to-date, and they must be aligned with
internal policies and the company’s mission and vision .
Why is data governance important?
The importance of data governance learn the concept of organizational behavior and its importance in the dynamics of companies lies in the simple fact that to make the best decisions, the greatest amount of information is needed to carry out the respective analyses and balances and thus base said decision.
This translates into the following: If companies have accurate, up-to-date and reliable information available when making decisions about emerging or existing projects, this will result in beneficial results for the organization.
7 steps to implement a data governance program
1. Form the group of people who will be responsible for the program
First of all, we need to define who will ba leads be responsible for guiding this data program.
After naming them and distributing responsibilities , they will be responsible for forming a council where plans, strategies and all activities that will have the objective of improving information will be discussed.
2. Establish what you want to achieve with the program
Once those responsible for the program have been identified, it is necessary to define what is to be achieved with it.
That is, what are the goals that the organization has with respect to the creation of a data governance program.
These goals should be specific and measurable, and all program staff should be fully aware of them.
3. Determine what your metrics are
This step is quite important since the metrics will be a thermometer for our data governance program. They will tell us if it is on track to achieve the proposed objectives , or in the worst case, if it is not working at all.
These metrics are called KPI , which stands for Key Performance Indicators.
4. Make decisions
Once the goals and metrics that will help evaluate the program’s performance are clear, decisions must be made about what the next strategy will be. These decisions are also known as policies.
Decision making will be successful if the KPIs have been defined correctly. It is also important to mention that in some cases decision making must be fast, so the choice of those responsible for the data governance program must be correct.
5. Disclose decisions in your organization
Once decisions have been made, they must be communicated to all those involved in the data governance program. This must be done so that everyone is aware of these decisions and each of the proposed goals is achieved effectively.
Decisions can be communicated verbally, by email or in written documents. The most important thing is that they reach each person in the program.
6. Measure your results
After implementing policies, it is time to measure their results and then make decisions based on those measurements.
The advantage of using KPIs is that the results of these measurements will serve as a basis for defining new policies and, consequently, improving the data governance program.
It is important to be aware that the policies implemented will not fully achieve the established goals. It is therefore important to measure their performance to determine what changes can be made to achieve the objective as quickly as possible.
7. Perform Audits
Conducting audits periodically will be of great help in knowing whether the program is working or not and what those reasons were.
Knowing the reasons why strategies work or not will be of great help in knowing what things can be improved, what things are working well and what things should definitely not be implemented again.
Now to finish
Very well, how interesting everything that a data governance program can contribute to an organization.
In addition to having a solid, organized and secure database, having reliable data will be of great help in carrying out any type of marketing strategies , reducing production costs and clearly seeing the new business opportunities that may arise.
Now, if this post has helped you to build a successful company, don’t wait any longer and download our ebook on Digital Transformation . It’s information you can’t miss!
