Within technological advances, there is an important aspect to take into account, which is data collection. From there, two key concepts for companies emerge: Big data and Business Intelligence. Stay with us and we will tell you more about Big data vs business intelligence: main differences .
Big data vs business intelligence: Main differences
Big data and business intelligence are different concepts, but they are interrelated. They need each other to complement each other and achieve better results in the field of business management.
On the one hand, Big Data focuses on the collection of large amounts of data (structured, semi-structured and unstructured), its collection is done in real time and through different sources such as: social networks, videos, images, forms, etc.
While business intelligence works only based on structured data , its main function is to perform an analysis of the data obtained from big data and make the best decisions based on that analysis.
There are more differences between Big Data and Business Intelligence, such as: their operation, data storage, analysis, professional profiles, among other differences that we will tell you about…
Big Data and Business Intelligence work differently
Although Big Data and Business Intelligence gambling data china phone number are based on data and their concepts are related, this does not mean that they function in the same way. Each one works and functions differently within the professional field.
Big Data is responsible for collecting all types of data and Business Intelligence works only with structured data , data that was stored in a database hosted on a server.
Big Data focuses more on the management of a large volume of data and Business Intelligence seeks to collect, organize and analyze data to facilitate the company's decision-making; according to this data, the company will focus its objectives and strategies for better results.
Business Intelligence and Big Data do not store data in the same way
Business Intelligence and Big Data do not store data in the same way. Their concepts and functions may confuse you, but it is important to recognize their differences and understand that their storage types are different:
Business Intelligence (BI):
stores data on a central server and stores it in structured databases. It also organizes data by rows and columns and follows a predetermined scheme
Big Data:
stores data from distributed files and does not follow a special format. Its storage and processing are used from NoSQL databases and distributed file systems.
Big Data and Business Intelligence perform data analysis in different ways
Both Big Data and Business Intelligence perform data analysis, but in different ways. Big Data focuses on processing and analyzing large volumes of unstructured data to discover patterns and trends, and Business Intelligence focuses on analyzing structured data and providing relevant insights for business decision making.
The traditional approach of BI systems is to provide historical answers to questions already known by the organization, while Big Data allows new questions to be asked that are unknown to business users.
Professional profiles differ
Another big difference that we can mention within Big Data vs Business Intelligence is the professional profiles that differ in each one, since having certain skills and competencies make you train more for the Big Data or Business Intelligence side.
Within the world of Big Data, this includes mathematicians and engineers who report to the Chief Technology Officer. In relation to Business Intelligence, they work directly with the CEO and are usually people in charge of strategy . Similarly, they are experts in Business Administration, economists or technicians.
If we talk about the studies for each of these professions, those who dedicate themselves to Big Data are people trained in the area of Computer Engineering or even Mathematics, since it requires advanced knowledge of databases and data analysis, programming and knowledge in administration.
