Data governance: preserve the integrity and consistency of your data

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Discover how data governance can empower your team and make data-driven decisions with guaranteed quality and integrity of information.
We can no longer talk about data management or data-driven decisions without considering data security and privacy. And in this process, the policies and best practices that are implemented, i.e. Data Governance, are also key.

Let's see why data governance is essential to guarantee business results with reliable and consistent information.

Businesses are increasingly driving their decisions with data intelligence. To do so, they need to empower their teams with reliable data.



HubSpot BLOG

29 % of employee time is spent on tasks that do not add value skype database to a lack of quality and availability of data. If we talk about finance, this number rises to 36% .

Source : McKinsey



If there is no data governance, or if it is not effective, there can be no talk of data quality or security . Whether it is a matter of expanding and maturing the data governance capabilities already established, or whether it is time to acquire them, it is necessary to incorporate the best practices that help achieve the goals of good data governance , which are none other than:



Define data strategies and policies.

Determine data architecture, procedures, and metrics needs.

Promote proper data management and its application in all projects, areas and services of the organization.

Resolve any questions that may arise regarding the data.

Foster understanding of the value of data assets.

Make decisions aimed at ensuring data quality.

Data management and governance for data-first companies


Data governance: from consistent data to good decisions

Data governance is about improving the efficiency of information use and is not about solving IT problems, or dealing with data warehouses or database design. Nor is it the responsibility of data governance to manage change, clean data or manage master data.


From their perspective, data governance contributes to improving the quality of data, optimizing its accessibility and increasing its security conditions. Therefore, if data is properly governed, the following are achieved:

Preserve data integrity.

Improve information consistency.

Minimize risk in decision making and increase its accuracy.

The way to achieve this is based on 4 actions:

Identify the interest groups and determine the weight of their participation, making clear to what extent they can intervene in decision-making.

Define a monitoring policy , which must be reviewed and adjusted accordingly.

Establish the standards by which the business will operate.

Determine the strategy to follow at the organizational level regarding data governance


HubSpot BLOG 2



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10 keys to achieving effective Data Governance for your business





Data governance is critical to strategic planning and can be accomplished after a prior self-assessment effort has been undertaken to help determine the company's data needs.