Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

ElegantJ BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

ElegantJ BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

Data Pine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Data visualization capabilities. Data visualization helps in understanding larger or smaller volumes of data much faster than a written or spoken word.

Retail 104

Retail Healthcare Visualization Business Intelligence 104