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Gobierno de datos
In recent times, information and knowledge represent the key to obtain a competitive advantage. Organizations that have reliable, high-quality 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 akin to poor capital management resulting in wasted time and opportunity.
If there is no data governance, a well-defined structure or an adequate strategy that allows them to use or take advantage of the data that the organization has, there is a risk of having inaccurate, incomplete, and low-quality data, which causes the data to they can be misunderstood.
Data Management is the development, execution and supervision of plans, policies, programs, and practices that deliver, control, protect and increase the value of data and information assets throughout their life cycle.
The Data Strategies that an organization requires are linked to each other in accordance with 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, based on the data, new opportunities that contribute to the Company’s Mission. It is in this strategy that 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 truly sees them as the business asset they represent.
