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We are not talking about witches or fortune tellers we are referring to finding the correct patterns that will allow us to anticipate what can be our sales if the conditions remain the same.
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Also it’s important to remark that information that we are managing can come from internal and external sources to be able to analyze how we are performing our activities but also to compare with our competitors if they are publishing information or trying to analyze data from our target markets that we are going to access.Īnother interesting concept is the possibility of forecasting the future.
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One of them is focusing on the advantage that a company can get from implementing this kind of system as far as you can be more efficient in administrative tasks for gathering information and use your time to analyze the information to get conclusions. There are also some other interesting concepts to define BI.
#Bi tools for big data full
We will see the detail of each component along the whole my blog.ĭuring read my blog we will analyze some theories during this introduction we will talk about methodologies we will see the full architecture of the system and we will evaluate different technologies. Finally we can have a MOLAP system that will help us to realize the budget for the next year. It is quite possible that we have just a database and the distinction between ODS, Staging Area, and Datawarehouse is just the tables that we use or different schemas inside the database. With our ETL tool we will move information from ODS to the Staging Area database where we will process the information, and finally we will insert that in the datawarehouse where we will access with our BI front-end tool. In Figure 1 you can see that the main information source of all the system is the ERP (in spite of that, as we will see, there can be multiple other sources), then we have an ODS database that contains a direct extraction from ERP it can be a database or some tables inside our database, but this concept usually exists, using direct extractions from ERP so as not to overload the source system. Keep it in mind because it will be useful for you to understand the whole blog. In Figure 1 you can see a diagram of main BI components. Because to have a BI solution in place implies to follow some theories in the definition of the process such that some specific data model applies methodologies that help you to achieve efficiency during your implementation project and then the later maintenance, which define the correct architecture that gives you an appropriate Return of Investment based on the benefit that you will obtain from the BI project, and finally choose the set of technologies that meets with your requirements, specifications, and economic possibilities. The Wikipedia definition for BI is this: “Business intelligence is a set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes.” In our opinion this is a very interesting definition because it shows a full image of a BI solutions, and not only the usual focus on the front-end tools that some definitions remark. BI has multiple definitions in multiple publications.