Predictive data analysis is a broad topic within data mining, and its main objective is to extract information to obtain knowledge and thus be able to predict future trends and patterns of behavior.
The most important thing about predictive data analysis is the ability to process large amounts of information quickly and effectively, that is, to have sufficient and quality information to generate value proposal.
Today data is known as the new oil, and with it, we can create, design, and execute models that add value to companies and people, for example, companies have a lot of information since they constantly store information in their systems, but that information is static, it has not been processed, and largely due to ignorance about What can be done? How can it be done? But the reality is that there are already many tools that can process that amount of information.
If we notice, in our daily life we already use predictive analysis, for example, surely you have ever used the Waze platform, which gives you route alternatives and you wonder… How can it give me that result? It is because this application behind it has a large amount of historical information about the users and what happens in real-time, it provides past and present information to provide an assertive result to the user, helping them to make decisions about their route.
If we go to the business world, a financial company that has a loan application process, and would like to know if the users who apply for a loan are candidates to obtain it, they can support a model with historical information on ages, credit histories, etc. and they could also perform a predictive analysis with the information that other financial companies have, to achieve an exact and real result.
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Now, technology is one of the main elements of predictive data analysis since we can attach large amounts of information, previously it took a long time to be able to analyze or interpret data and currently with technology we feed millions of data.
The technology is configured with what we call artificial intelligence or machine learning, where through algorithms or already trained models we can predict the future.
To do this, it is important to know the accuracy of the model we are training, using languages with which you can create your own models, in addition, there are companies that have created models that have already been trained that, feeding them with information, allow testing to obtain a result of assertiveness and on this makes the decision of whether the model is functional according to the objective we want to achieve. In particular, what has been happening about the fact that not many companies are implementing artificial intelligence is due to the ignorance of not knowing that these platforms exist. That is why at MBGE we work to create and develop platforms that help us obtain fast and useful information, with predictive analysis models to add value to companies.
At MBGE we offer solutions to achieve predictive data analysis, through consulting, development, implementation, and continuous improvement, which will lead you to evolve human talent, processes, and data, with personalized technology.