Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

Predictive Analytics 303

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 303

Marutitech

DECEMBER 17, 2021

You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 6, 2024

Key Features: Interactive Workflow Tool Explore and Graph nodes for visualizing data Automated Model Building features Integration with RWorks with Big Data SQL Pros: Seamless integration with the Oracle Database Enterprise Edition. Can handle large volumes of data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144