IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 130

Data mining Data-driven Statistics OLAP 130

AWS Big Data

MARCH 26, 2024

AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Smarten

NOVEMBER 26, 2023

TechTarget defines business intelligence this way: ‘Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.’

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

FEBRUARY 23, 2020

Database reporting tools are the reporting software that helps you directly generate reports of the data from the database or the data warehouse you use. There are two types of databases used in the company or organizations: relational databases and NoSQL data sources. . From Google.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60