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

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: ...

Use advanced data visualization to engage stakeholders effectively. Despite this, remember data analysis is the cornerstone, and make sure to address the initial questions that sparked the ...

The data processing in a smart gateway platform typically involves several key stages. First is data collection, where the gateway needs to support multiple communication protocols and be compatible ...

No business can be data-driven if the only people interested in data analysis are the analysts. Just as the guidance of accountants and attorneys shapes everyday business, analytics must be ...

Data orchestration is defined as the act of collecting and organizing siloed data from numerous data storage points and making it accessible and prepared for processing by data analysis tools.

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 ...

Even for small details like the amount of time interviewees wait for a ride to the airport, the interview experience is fine-tuned based on data.