Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

IBM Maintenance 73

IBM Maintenance Data Warehouse IBM cost Data Quality 73

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Healthcare 196

Healthcare Big Data Data Analytics Data Analytics 196

Astera

JANUARY 23, 2024

Information marts enable analytics teams to leverage historical data for analysis by accessing the full history of changes and transactions stored in the data vault. This allows them to perform time-series analysis, trend analysis, data mining, and predictive analytics.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JUNE 13, 2023

Machine Learning and AI Data pipelines provide a seamless flow of data for training machine learning models. This enables organizations to develop predictive analytics, automate processes, and unlock the power of artificial intelligence to drive their business forward. Find out How

E-Commerce 52

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