Bussiness Analytics

In the year 1960s the first stage of evolution of Data happened and its called as

In 5 Vs of Big data, the quantity of data generated is referred as

A centralized repository for storing and managing data from various sources. It is designed for query and analysis rather than transaction processing.

A subset of a data warehouse focused on a specific area or department within an organization. It contains summarized and aggregated data for a particular business function.

A subset of artificial intelligence that enables computers to learn from data and improve performance without being explicitly programmed. It includes techniques such as regression, classification, clustering, and neural networks.

A branch of artificial intelligence that enables computers to understand, interpret, and generate human language. It is used in tasks such as sentiment analysis, language translation, and text summarization.

Analyzing historical data to gain insights into past performance. Examples include dashboards, scorecards, and data visualizations.

Forecasting future outcomes based on historical data patterns. Examples include regression analysis, time series forecasting, and predictive modeling.

Recommending actions to optimize future outcomes. Examples include optimization algorithms, decision trees, and simulation models.

The practice of basing decisions on data analysis and empirical evidence rather than intuition or gut feeling. It involves gathering, analyzing, and interpreting data to support decision-making processes.