![]() ![]() Reporting methods include interactive data dashboards, charts, graphs, and maps that help users see what’s going on in the business right now. Step 3: Use data visualization to present findingsīusiness intelligence reporting uses data visualizations to make findings easier to understand and share. BI tools often feature several types of data modeling and analytics-including exploratory, descriptive, statistical, and predictive-that further explore data, predict trends, and make recommendations. Step 2: Uncover trends and inconsistenciesĭata mining, or data discovery, typically uses automation to quickly analyze data to find patterns and outliers which provide insight into the current state of business. This data is then transformed and remodeled before being stored in a central location, so applications can easily analyze and query it as one comprehensive data set. Step 1: Collect and transform data from multiple sourcesīusiness intelligence tools typically use the extract, transform, and load (ETL) method to aggregate structured and unstructured data from multiple sources. ![]() Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort. The first three-data collection, analysis, and visualization-set the stage for the final decision-making step. There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use.
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