Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

Data mining 144

Data mining Data Science Informatics Statistics 144

FineReport

JULY 16, 2021

Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. Data Mining. In practical applications, data mining is also used to mine the past and predict the future. Data Visualization.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

AUGUST 14, 2020

With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

CIO Business Intelligence

JUNE 28, 2023

It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105