In a Business Intelligence architecture, you can not only find BI software. BI data is generally stored in data warehouses created for the entire company, as well as in smaller spaces that contain pieces of business information, for example for each division or business unit. However, all of these parts are related to the data warehouse of the company as a whole.
Business intelligence data can be in the form of historical information as well as real-time data, all of which is gathered from the source system once the data is generated. Therefore, tools in BI can support strategic and tactical (daily) decision-making processes.
Raw data collected from various source systems needs to be integrated first, as well as consolidated (merged) and cleaned using data integration tools and data quality management tools. Its purpose is to ensure that its users obtain accurate and consistent information in the business analysis process.
Broadly speaking, the Business Intelligence process involves the following steps:
- Step 1: Integration of data from source systems into a data warehouse or other data warehouse.
- Step 2: Preparation of data into analytical data models for analysis requirements.
- Step 3: Application of analytical queries to data by business intelligence analysts and professional business analysts.
- Step 4: Creating data visualizations, dashboards, reports, and so on using query results.
- Step 5: Use of information for corporate strategic planning and decision making.
Previously, all business intelligence tools were only used by business intelligence specialists and IT professionals. However, along with the development of technology, there are now many business intelligence platforms with complete tools that can be used by business analysts, executives, and employees.
In fact, MSME businesses can use the business intelligence platform to obtain data, create data visualizations, or design business intelligence dashboards according to business needs.
Business intelligence programs often involve some form of advanced analysis. For example data mining, text mining, statistical analysis, big data analysis, and predictive analysis.
One of the most common examples is what-if analysis for various business scenarios. The Enterprisers Project emphasizes that the business intelligence platform doesn’t just present data in spreadsheets, but also provides visualizations for all the data companies need in business analysis and decision making.