Benefits
Obtaining qualitatively new knowledge
Becomes possible due to comprehensive analysis of all information in corporate information assets
Expansion of functionality
By extending the functionality of existing business support information systems
Increased efficiency
Realized by using hardware resources of servers
Cost reduction
Ensuring minimum cost of ownership of all types of information while maintaining the required performance due to the possibility of using open source software and cloud storage technologies
Stages
Data Collection
In this stage, data is collected from various sources such as databases, sensors and others. It is important to ensure the quality and integrity of the data and to collect all the necessary data for analysis
Data storage and processing
Once the data is collected, it has to be stored and processed. For this purpose, special data management systems are used to store and process large amounts of information efficiently
Data analysis
At this stage, the data is analyzed using various methods and algorithms. This may include statistical analysis, machine learning, text analysis and other methods. The purpose of analyzing data is to identify patterns, trends, and regularities
Interpretation of results
After analyzing the data, the results must be interpreted to provide valuable information and insights. This includes creating reports, graphs, dashboards, and other data visualization tools