Do they complement each other?
Posted: Mon Jan 06, 2025 6:23 am
In the daily information congestion that characterizes our current society, it is common to find various things: from articles, blogs, videos and other documents that are completely empirical and without any theoretical foundation; to very sophisticated documents, use cases, extreme theorizing, among others. However, the lack of criteria and adequate selection in the identification of information sources, in addition to the proliferation of a large number of authors who, although they may have experience and knowledge in the implementation , often lack sufficient rigor in the definition of terms . This feature is not only common to our topic today, business intelligence and big data , but in general to many other topics within the business field.
Hence, we find that business intelligence and big data are often seen as anachronistic and disjunctive topics . The central objective of this publication is to provide clarity on their subtle differences, but above all, on their complementarities and on the construction of their vision as a single element.
With this we hope that the reader will consolidate a point of view where there is sufficient conceptual clarity to allow him to move on to more relevant questions, specifically, those that allow these topics of special relevance to transcend from a very specific group of companies, with resources and sufficient development, to a potential that can be taken advantage of by any type of organization regardless of its purpose, nature or size.
Business intelligence
To begin, let us propose a definition of Business Intelligence (BI) that allows us to consolidate the variety of concepts involved.
When we talk about BI, we are characterizing a set of paraguay phone number processes, technologies and people that have the capacity to transform data into information and information into knowledge, with the aim of optimizing business decision-making and facilitating management through the monitoring of patterns of behavior and transactionality.
BI covers a wide range of tasks that include the collection and consolidation of centralized databases through the concepts of ETL and Data Warehouse ; the management of tools for the use of information , based on analytics and data mining; along with a set of visualization and reporting tools , which includes technologies such as OLAP (On Line Analytical Processing).
Likewise, BI involves a complete transformation of organizational management . A company that seeks to work with BI must start from the fact that the company's management becomes centered on a data culture, where decisions are based on the evidence that these provide and where data is transversal to the traditional activities of planning, organization, direction and control .
Hence, we find that business intelligence and big data are often seen as anachronistic and disjunctive topics . The central objective of this publication is to provide clarity on their subtle differences, but above all, on their complementarities and on the construction of their vision as a single element.
With this we hope that the reader will consolidate a point of view where there is sufficient conceptual clarity to allow him to move on to more relevant questions, specifically, those that allow these topics of special relevance to transcend from a very specific group of companies, with resources and sufficient development, to a potential that can be taken advantage of by any type of organization regardless of its purpose, nature or size.
Business intelligence
To begin, let us propose a definition of Business Intelligence (BI) that allows us to consolidate the variety of concepts involved.
When we talk about BI, we are characterizing a set of paraguay phone number processes, technologies and people that have the capacity to transform data into information and information into knowledge, with the aim of optimizing business decision-making and facilitating management through the monitoring of patterns of behavior and transactionality.
BI covers a wide range of tasks that include the collection and consolidation of centralized databases through the concepts of ETL and Data Warehouse ; the management of tools for the use of information , based on analytics and data mining; along with a set of visualization and reporting tools , which includes technologies such as OLAP (On Line Analytical Processing).
Likewise, BI involves a complete transformation of organizational management . A company that seeks to work with BI must start from the fact that the company's management becomes centered on a data culture, where decisions are based on the evidence that these provide and where data is transversal to the traditional activities of planning, organization, direction and control .