Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

Kulkarni believes that all data is fundamentally time-series data, and that the database and data processing market will eventually get absorbed by time-series analysis tools: ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results.

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Fanruan FineChatBI: Summary of the Conversational BI Innovation Data Analysis Process Report ...