Post by hasbirabbi112233 on Feb 27, 2024 1:28:05 GMT -5
For some time now, data visualization tools have strongly penetrated the domains of Business Intelligence, and it seems that they have found in it the necessary conditions to establish themselves, establish themselves and gain ground in a constant and progressive way. It may be somewhat redundant - although we consider it convenient at this time and for the case that concerns us today - to insist again on the main characteristics and functionalities of data analysis tools, since they are closely related to their first cousins designed for their use. Despite everything, let's do a brief review. Analysis tools handle large volumes of data, which in turn present great variety and constant growth. They are, therefore, powerful instruments that allow trends, patterns and discontinuities to be detected, structuring the most relevant data and providing sensitive information for the specific interests of an organization or company. However, as we know, these tools use complicated algorithms that, although they serve to obtain results translated into an understandable language, are not always presented in a friendly and immediately intelligible way. It is at this point that data visualization tools come into play, and it is also here where we find the main reason for the boom they are experiencing.
The reason for the rise of data visualization tools The reasons behind the unstoppable advance of data visualization tools in the field of Business Intelligence, as we mentioned a moment ago, come from the same common point: the need to simplify the presentation of relevant data and information. This is already a major reason, which in itself would justify the good Phone Number List moment that these types of instruments are going through. However, there are other reasons related and/or tangential to this main reason that explain why, today, any BI project must have powerful, reliable data and information visualization tools that can be integrated into other systems, instruments and devices of its own. business intelligence, such as Mobile Intelligence platforms or dashboards. Among these reasons, the need to detect new risk situations or business opportunities stands out, and make the right decisions almost immediately to correct them or take advantage of them, as the case may be. And, of course, also the increasingly pressing demand for personalization of the treatment and services provided to clients has played a crucial role in the establishment and expansion of visualization tools.
If we take into account the advantages of having an instrument for data visualization, for example, on a mobile device, having access from anywhere and at all times to updated information, in real time and understandable in a simple, easy way and friendly, we will have the answer we are looking for. In the guide 10 keys to defining your Mobile Intelligence strategy , which can be downloaded completely free of charge in our Business Intelligence resources section, the determining factors of the success of any BI strategy are detailed, among others, about which it will not be difficult for us to notice the decisive influence exerted by data visualization tools. Without a doubt, the advancement and evolution of data visualization tools has not reached its ceiling yet. The reasons for its growth are not only still valid: they are increasing exponentially as technological advances allow companies to reach an increasingly large audience with a minimum investment; a public that, let us not forget, increasingly demands a personalized solution to its needs. As long as this remains the case, it seems that the progression in the implementation, evolution and improvement of data visualization tools will not experience any setback, quite the opposite. Related posts: How data visualization affects decision making The importance of correct visualization of information How to present statistical data analysis more effectively.