Post by simranratry20244 on Feb 12, 2024 4:49:13 GMT -5
We have spoken, on previous occasions, of a new generation of business intelligence tools that are displacing traditional BI in capabilities and possibilities, replacing it with business intelligence closely related to a new concept : predictive intelligence. A large number of new generation business intelligence solutions and tools are covered under the umbrella of predictive intelligence . Among them, we have addressed in other articles some of the most notable developments in data analysis and visualization , and resources such as the advanced analytics Dashboard guide (completely free) offers a broad and panoramic view of the transformations that the generation of tools of predictive analysis have sought from the CMI. However, what does the concept of predictive intelligence really consist of ? How is it different from traditional business intelligence? What advantages do new generation BI tools provide compared to their predecessors? _tools_business_intelligence Predictive intelligence and new generation business intelligence tools The extreme and rapid evolution of BI solutions has taken us to a point that, just a few years ago, it would have seemed, if not impossible, then extremely unlikely to reach.
A little more than two decades after we started talking about business intelligence tools and barely five years after the popularization of the term Big Data, today we are proposed to overcome a new paradigm in business intelligence . So much so that we might ask ourselves if we are, in fact, facing a change as profound as claimed, or if it is really advertising hyperbole, a mere marketing resource Colombia Telemarketing Data encouraged by BI solution developers. For this reason, the question about the concept "predictive intelligence" is absolutely relevant and necessary. And to answer it, the best thing is to pay attention to the priority meaning of "traditional" business intelligence tools : providing knowledge about what has happened in the company (finances, internal processes...) and in its environment (markets, competition, clients... .), or, in the best of cases, about what is happening in real time. Of course, until today, this has provided invaluable support for decision-making, but as we see, the direction adopted is the opposite of the natural course of events : from the present, we point towards the past.
This is the key to understanding to what extent predictive intelligence represents a turning point in the development of business intelligence tools : it radically changes the direction in which they point, producing a 180º turn to direct their attention towards the future . Predictive intelligence is frequently referred to as opposed to descriptive intelligence , the latter concept used in reference to traditional business intelligence tools and very useful to understand their (eminently descriptive) nature. Until now, descriptive BI tools, after analyzing data and information, left unanswered the question about what to do in the short, medium or long term to minimize risks and maximize business opportunities; That is to say, the future of organizations and decision-making in this sense were left without technological support. Predictive intelligence solves this problem of traditional BI (called the "hindsight effect" due to its inevitable reference to the past ) through the use of powerful analytical and data mining tools that allow, in turn, to make predictions and design possible future scenarios. In short, projecting the information obtained into the future and transforming it into effective knowledge about the possible corporate future is the main mission of new generation business intelligence tools. Something that represents, without a doubt, an immeasurable advance in the development of BI solutions.