Data Governance

In these lines, we want to introduce the concept of Data Governance, which, although it may seem complex, will appear quite simple as we delve into what it is and what it's used for. 

Historically, business leaders designed their strategies based on intuition and individual ability to interpret socio-economic information, market news, and, using this foundation, formalize their company's strategy.

Today, information systems go much further and allow for obtaining a more complete and focused set of information. This enables organizational structures within companies to better align their strategies based on useful and reliable information.

Data Governance becomes significant because it represents the formalization of this intuition into an ideology or strategy based on well-structured, organized, and reliable information.

Every information system relies on data reliability, which is not always easy to achieve. Therefore, information systems have become a strategic tool for companies

Data Governance is a concept aimed at generating information that is useful for decision-making. As a result, companies must work on generating and ensuring data reliability, supported by technology that can provide the necessary information for decision-making in a timely manner.

When we touch on the concepts of Business Intelligence, Data Warehouse, or Big Data, all of them are oriented towards data collection and management, often involving a large amount of data.

While it is true that all of these require Data Governance management or projects to transform or extract useful information from a sea of data that may not always be straightforward to interpret for decision-making. .

Therefore, we could conclude that the technology used for Data Governance projects includes Big Data platforms, Data Warehouses, and Business Intelligence. Meanwhile, data organization to align it with the business is the "Data Governance" project that greatly empowers information management for the benefit of companies. .

Hence, considering technology as the sole pillar in solving the issue of obtaining useful information for decision-making might seem, at first glance, a mistake if it excludes an effort to focus on obtaining real and reliable data aligned with the business, also known as Data Governance.

It's essential to be aware of a significant risk when incorporating disruptive technology aimed at enhancing a company's business. This risk involves trying to adapt the technology too much to the company's historical way of working and acting. Disruptive projects must precisely change the company's historical way of doing things so that the significant benefits they "promise" can truly be achieved.

Typically, technology should improve not only the working platform but also change the working methodology and the way we communicate between individuals and departments. For instance, using shared folders reduces the number of emails we send. Therefore, it's essential to accept that technological changes are associated with changes in how we do things. 

It's essential to have an open mind and allow for this work plan to achieve success in projects that require not only technology but also changes in the way of doing things.


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