Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Model-driven DSS use data and parameters provided by decision-makers, but Power notes they are usually not data-intensive.

Data mining 136

Data mining Data-driven Statistics OLAP 136

Jet Global

MAY 1, 2023

And Manufacturing and Technology, both 11.6 Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52