Business Intelligence
Data gathering: Collecting data from various sources, including databases, spreadsheets, and external sources.
Data storage: Storing data in a data warehouse or data lake, which is designed to handle large volumes of data.
Data analysis: Analyzing data using data visualization, statistical analysis, and machine learning techniques to identify patterns, trends, and insights.
Data transformation: Transforming data into a format that can be easily consumed and understood by business users, such as reports, dashboards, and scorecards.
Better decision-making: BI provides real-time insights into business performance, enabling organizations to make data-driven decisions.
Improved efficiency: BI automates data analysis, reducing the time and effort required to collect and analyze data manually.
Increased agility: BI enables organizations to respond quickly to changes in the market, allowing them to adapt to new trends and opportunities.
Enhanced customer experience: BI can help organizations better understand their customers, enabling them to tailor products and services to meet their needs.
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