Text Mining: Extracting useful information from textual data.

[bdjakaria76]

BI systems provide historical, current, and predictive views of business operations, often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data. Key functions of BI technologies include:

Reporting: Generating static or interactive reports based on specified metrics (e.g., sales reports, financial summaries).
Online Analytical Processing (OLAP): Enabling users to interactively analyze multidimensional data from various perspectives.
Analytics: Exploring data to identify trends, patterns, and insights, often employing statistical techniques.

Data Mining: Discovering patterns in large datasets using machine learning, statistics, and database systems.
Process Mining: Analyzing event logs to understand and optimize business processes.
Benchmarking: Comparing an organization's processes and performance metrics to industry bests or best practices from other companies.
Predictive Analytics: Using statistical models to predict future outcomes.

Prescriptive Analytics: Recommending actions to whatsapp number list achieve desired outcomes.
Dashboarding & Data Visualization: Presenting data and insights in easily digestible graphical formats.
BI empowers organizations to understand their performance, identify areas for improvement, respond to market changes, optimize operations, and gain a competitive advantage.