Post by account_disabled on Feb 22, 2024 5:44:31 GMT -6
Data visualization is a critical aspect when translating data and information into knowledge: the more accessible, graphic, simple and complete the information displayed, the greater, better and more immediate the knowledge acquired will be. Obviously, the larger the data set analyzed, the more complex the representation of the information contained in them will be, so organizations that handle large volumes of data, such as public institutions , must have visualization tools that are sufficiently powerful and flexible to generate knowledge that is as precise , deep and broad as possible, allowing decisions to be made at the height of the circumstances.
We must not forget that, by their nature, public institutions must make decisions that affect society as a whole in a particularly relevant way, so the minimization of risks and the correctness of the decisions taken have a much higher relevance than that cover the decisions made in corporate and private business environments. is187020 Public institutions and data visualization tools There is no doubt that, as we have pointed out, data visualization tools represent a fundamental role in generating knowledge about the institution itself, its work Chinese Student Phone Number List object and its environment. This knowledge, in addition to being deep and broad, must be as precise as it is updated to a changing social reality, and adjusted to volumes of data in constant growth and transformation, so that it leads to decision-making with far-reaching consequences, in all the senses. However, the adoption of the most optimal and necessary data visualization tools in the institutional field does not only result in a direct benefit to the institutions themselves , with repercussions that transcend them to reach society as a whole, but also in a sense opposite, that is, for the direct benefit of citizens, companies and entities that use the services provided by said institutions (something that indirectly but undoubtedly also benefits them).
That's right, the visualization of data at the institutional level not only makes it possible to make correct decisions within the institutions themselves, but also offers greater transparency of the processes, activities and results of these to all citizens, who can access data and information represented in a simple and straightforward way, but transparent and highly effective for improving common knowledge and the institutional public image. Institutions of such critical importance to society as political and government , educational , health or cultural , among others, and in turn their users and beneficiaries obtain great advantages with the appropriate use of visualization tools. Advantages that, once again, prove to transcend the private and business spheres to effectively reach the public sector. There is still a long way to go in adapting Business Intelligence tools, such as data and information visualization tools, to public uses of all kinds. However, some of its benefits can already be glimpsed today, in moments that are still incipient but clearly decisive for the future development of the implementation of BI solutions in the management of public administrations . Related posts: The added value of data visualization on the dashboard Visualizing data while roaming with mobility tools Data mining and the importance of data visualization.
We must not forget that, by their nature, public institutions must make decisions that affect society as a whole in a particularly relevant way, so the minimization of risks and the correctness of the decisions taken have a much higher relevance than that cover the decisions made in corporate and private business environments. is187020 Public institutions and data visualization tools There is no doubt that, as we have pointed out, data visualization tools represent a fundamental role in generating knowledge about the institution itself, its work Chinese Student Phone Number List object and its environment. This knowledge, in addition to being deep and broad, must be as precise as it is updated to a changing social reality, and adjusted to volumes of data in constant growth and transformation, so that it leads to decision-making with far-reaching consequences, in all the senses. However, the adoption of the most optimal and necessary data visualization tools in the institutional field does not only result in a direct benefit to the institutions themselves , with repercussions that transcend them to reach society as a whole, but also in a sense opposite, that is, for the direct benefit of citizens, companies and entities that use the services provided by said institutions (something that indirectly but undoubtedly also benefits them).
That's right, the visualization of data at the institutional level not only makes it possible to make correct decisions within the institutions themselves, but also offers greater transparency of the processes, activities and results of these to all citizens, who can access data and information represented in a simple and straightforward way, but transparent and highly effective for improving common knowledge and the institutional public image. Institutions of such critical importance to society as political and government , educational , health or cultural , among others, and in turn their users and beneficiaries obtain great advantages with the appropriate use of visualization tools. Advantages that, once again, prove to transcend the private and business spheres to effectively reach the public sector. There is still a long way to go in adapting Business Intelligence tools, such as data and information visualization tools, to public uses of all kinds. However, some of its benefits can already be glimpsed today, in moments that are still incipient but clearly decisive for the future development of the implementation of BI solutions in the management of public administrations . Related posts: The added value of data visualization on the dashboard Visualizing data while roaming with mobility tools Data mining and the importance of data visualization.