Technology represents a solution to most of the daily problems that any type of company may have: in this sense, a strategic tool that cannot be lacking is data governance.

What is data governance?

Data governanceLinks to an external site. consists of a group of roles, policies, standards, metrics and processes that guarantee the effectiveness and efficiency of the use of information to help a company achieve its goals.

Through proper management of processes and responsibilities, data governance ensures the data used and its quality defines who can do what, on which data, under what disposition and which method is applicable.

The design of a strategy based on data governance is imperative for any company that works hand in hand with big data when determining how the organization benefits from common and consistent processes and responsibilities.

In summary, data governance is policies for access to all data within the company: that is, as it is a set of processes, it must first undergo a prototyping procedure; once completed, you should control by default the way data assets are processed, such as accessing and cleaning them, among other things.

In this way, it manages to generate more productivity and trust among the empowered people who intervene in the organization's data at different levels of access.

There are two key aspects of this technique:

• Protection of the privacy of individuals whose data has been collected.
• Optimization of productivity in the use of data.

Benefits of using data governance

To finish understanding this topic, we must immediately turn to the advantages that an effective data governance strategy supposes for a company, among which we find:

Analysis, understanding and improvement of shared data

This digital tool provides a homogeneous view and common terminology for all data without requiring business units to give up the flexibility they need.

Likewise, develop strategic planning that ensures the precision, coherence and completeness of the information contained in your databases: having all the data grouped and named in the same way, will allow evaluating and categorizing different variants in the metrics.

With analytics tools, you will have the possibility to analyse and issue a uniform, accurate and easily understood message for all business departments.

Data map

Data governance has advanced features that allow you to understand the location of all data related to key entities, an essential aspect of data integration.

In the same way that GPS can represent a physical space and contribute to the location of people when they are in an unknown place, governance makes assets useful by allowing them to be easily associated with commercial results.

The broad vision of all clients and commercial entities

This strategy creates a framework for a company to unify realities and create a single version of the truth, in the case of critical business entities: in this way, it reaches an adequate level of coherence between business activities and the entities that carry them out.

Flexible data governance strategy

By having multiple entry points, you can adopt a data governance technique to suit your organization's purpose and configure business data in unique ways to suit your requirements.

Confidence in big data analytics

You'll get consolidated, clear, consistent, and up-to-date information that you can use to drive big data projects and applications by aligning it with governance goals.

Data categorization

With the use of data catalogues that are based on machine learning - or automatic machine learning - you will improve the efficiency of workers concerning knowledge and make the processes of metadata collection, knowledge exchange and asset conservation more efficient. efficient.

Privacy and protection

 Security measures and data protection are essential!

With the identification of meaningful data, you will evaluate the risk and value of each piece of data, predictive intelligence, personally identifiable information and personal health, in addition to respecting compliance with the Federal Law on Protection of Personal Data.