Therefore, in this article we are going to explain what data governance is, the phases involved and the framework .
What is Data Governance?
Data governance includes the people, processes and technologies needed to protect and manage company data, with the goal of ensuring that the data is accurate, reliable and discoverable.
Data governance describes who should make decisions, with what data, and when .
Typically, companies begin to need data governance chinese overseas australia database when they reach a considerable size that requires greater data management. At this point, professionals such as data architects need the support of a more complex system to deal with the amount of data they receive.
What data governance achieves is that all data is within the same platform , following the same patterns and regulations, so the quality is much higher.
Advantages of Data Governance
As we have said, the implementation of data governance ends up being mandatory when the size of the data is such that management through ETL processes is insufficient.
The advantages of implementing this data processing system are the following:
Greater security.
Better communication between different areas of the company.
Increased business flexibility.
Mitigate risks by improving data quality.
More speed and automation.
Ultimately, implementing data governance enables the company to be more productive , and that leads to improved business results.
Data that, a priori, may seem inconsequential, become relevant and begin to be observed from a different perspective so that each professional profile can act accordingly.
Phases of Data Governance
Data governance is made up of 4 phases that we will explain in this section.
Available data
The first phase is to maximize the availability of information assets. With this, we unify them all on a single platform to access them quickly.
Create roles, responsibilities and rules
Data governance creates a consolidated infrastructure with the aim of hierarchizing well-defined roles . This is where the figure of the Chief Data Officer emerges , since the task of assigning roles and establishing an action protocol depends mainly on his or her leadership capacity and vision.
Securing the data
Nowadays, a company's data is one of its most important assets, and losing it could lead to a waste of money, time and effort. By creating data governance, you not only increase the security of not losing it but also of making sure that all the data you already have is protected.
By this we mean that by making the data more accessible to company members, it is much easier to know if this data has not disappeared, as happens to many companies.
Structure based on data
The business organization will be based on data when making decisions. With this, feedback mechanisms will be developed to implement improvements both in the hierarchy and in decision making. This will allow the use of previously used data to be extrapolated to the present.
What is Data Governance? Phases and framework
What is the Data Governance framework?
When we talk about data governance framework, we refer to the collection of rules, processes and functions that guarantee privacy and compliance with regulations in the use of data by organizations.
This is not necessarily something new. Privacy when dealing with patient data has been around for many years, even before computers existed.
However, constant technological growth makes it easier to violate privacy, so greater control is needed.
But, as we have said before in the phases of data governance, it is not just about making it secure, but also about making it accessible.
However, you should be careful about duplicate data because it is more likely to occur than people think. Therefore, the tools chosen should be able to remove duplicate data and have profiling capabilities.
Data profiling is a kind of filter in terms of data quality , discarding those that are not suitable for the business model.
Importance of the Data Governance framework
Having a prior infrastructure is essential to comply with the 4 phases of data governance. The data governance framework is used to :
Data relationships.
Technical and business metadata.
Data certification.
Data classification.
Data collaboration.
Data profiling.
In short, with a good structure , processes, quality and data proliferation can be monitored without the risk of losing them . In addition, each anomaly perceived in the framework can be easily detected, so bottlenecks will not form.
To do this properly, small audits should be done at least once a month.
How to create a Data Governance framework?
To create a data governance framework suitable for your company, you must follow these 4 steps:
Assess the company's current data governance needs.
Evaluate the technical architecture and business infrastructure.
Align concrete plans with a unified approach to data governance and management.
Global action strategy, support methodology and guidance based on best practices and industry standards.
What is Data Governance? Phases and framework
In this article you have seen another part of the vast world of data, which, as we have mentioned in previous posts, is so dynamic and changing that we have to be constantly updating information. If you want to be a professional in the sector, discover our Master in Business Intelligence and Data Management .