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Data Governance

In recent times, information and knowledge represent the key to obtaining a competitive advantage. Organizations that have high-quality, reliable data about their customers, products, services, and operations can make better decisions than those that lack data or have unreliable data. Poorly managed data is similar to poor capital management that results in lost time and opportunity.

Why a data government?

If there is no data governance, a well-defined structure or an adequate strategy that allows them to use or make good use of the data that the organization has, there is a risk of having inaccurate, incomplete data of low quality, which causes the data to can be misinterpreted.

Data Management is the development, execution and monitoring of plans, policies, programs and practices that deliver, control, protect and increase the value of data and information assets throughout their life cycle.

How do we help companies to design Data Governance strategies?

Data Governance is a discipline that organizations must implement, based on using data for decision making.

The Data Strategies that an organization requires are linked to each other according to the following Strategic Framework:

Data Strategy

It is essential that organizations have a Data Strategy that responds to the Company’s Strategy in two ways, both by identifying the data that the company needs to have to meet its strategic objectives, and by identifying, from the data, new opportunities that contribute to the Mission of the Company. It is in this strategy where the types of data that the company requires are identified, who produces them, who consumes them, what principles must exist to generate a data-oriented culture that really sees them as the business asset they represent.

Data Governance Strategy

The Data Governance Strategy defines what capabilities will be developed over time; what structures and roles should exist; the objects (processes, systems, data entities, data repositories, etc.) that will be governed in each of the implementation stages, as well as the functional areas within the company in which Data Governance will be applied .

Data Management Strategy

Once the Data Strategy is defined, we can think about defining the Data Management Strategy that will support the first one through the different Data Management Functions. It is in this strategy where it is proposed which functions will have to be developed with higher priority, depending on the motivations that the company has, and, above all, in response to the problems related to data that are generating more “pain” in the organization. . The Data Management Strategy must be closely linked and aligned with the IT Strategy to ensure that the necessary technology and infrastructure are in place for the proper performance of the Data Management functions. Likewise, the priorities that exist in terms of Data Governance capabilities that must exist over time must permeate the Data Governance Strategy.

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