Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Actian

SEPTEMBER 12, 2019

Artificial Intelligence (AI) systems seem to be everywhere and for a good reason. Artificial Intelligence is arguably the most important technological development of the modern era. You can learn more about Actian’s Cloud Data Warehouse here. AI represents the next generation of computing capabilities.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Actian

SEPTEMBER 12, 2019

Artificial Intelligence (AI) systems seem to be everywhere and for a good reason. Artificial Intelligence is arguably the most important technological development of the modern era. You can learn more about Actian’s Cloud Data Warehouse here. AI represents the next generation of computing capabilities.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Cons: There’s a high learning curve for using Apache Mahout.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52