Menu Close

Generic Components of Business Intelligence Solutions

Business Intelligence Components

Today’s modern businesses are powered by Business Intelligence (BI) solutions that extract meaningful information from raw data collected and stored in information systems. Organizations around the globe leverage these business intelligence solutions provided by BI tools and software to gain competitive advantages over the rest. Therefore, more business enterprises are adopting business intelligence tools and software in their day-to-day operations. Selecting the right BI solutions depends on the business requirements and the organization’s objectives in the long run. However, there are some generic components of business intelligence solutions that are discussed in this article.

Components of BI Solutions

Although BI solutions have several components that vary according to the need of the business organization, they share some similar processes. For example, BI solutions deal with multiple source systems having different technologies for collecting and storing raw data. The raw data is stored in the central repository to minimize the loss of essential information during the process. The data to be analyzed is then stored in another storage for further analysis. The entire process is known as data analysis and is used by organizations to extract meaningful information from the raw data collected in their information systems. Thus, all BI solutions have some generic components. These are as follows:

  • Data Sources – BI solutions allow organizations to store raw data collected from multiple departments using different technologies like an Oracle database, SQL Server database, or Excel files. Doing this will help businesses to make intelligent decisions based on meaningful information from the data generated by multiple organization departments.
  • Staging – This component of BI solutions is the central repository where the raw data is stored. Thus, the data stored in staging is unstructured and requires processing to become eligible for data analysis.
  • Data Warehouse – This component of BI solutions, known as the data warehouse or data mart, is where the data from staging is cleansed and stored for further analysis. Data warehousing maintains the historical evidence of the data.
  • ETL or Extract, Transform and Load – BI solutions use the ETL component to cleanse and process the raw data into data eligible for data analysis. The extract, transform, and load process is an essential component of all BI solutions.
  • Semantic Layer – Not all historical data helps provide optimum business intelligence solutions. Thus, the data stored in data warehouses or data marts can be further divided into specific layers known as the semantic layer. These data are processed and can be used for data analysis.
  • Data Visualization – Data stored in the semantic layer component of BI solutions are again represented in graphical formats like diagrams and charts, called data visualization. The data visualization component of BI solutions is essential in determining hidden patterns or trends that were previously difficult to identify from the semantic layer.

Conclusion

Modern organizations are dependent on solutions provided by business intelligence tools and software. Selecting the right BI tools or software is the key to gaining a competitive edge in today’s dynamic economy. The expert advisors and consultants of our Business Intelligence Services will help organizations effectively understand their business requirements and align them with BI solutions. As a result, businesses will be able to transform their daily business operations and attain long-term success.