Data integration focuses on combining data from separate sources into one single view. The process begins with data ingestion, through to cleansing, ETL mapping, and transformation. This first step of any data analytics project provides the foundation for analytics tools to deliver actionable insight.
In order to begin deriving insight from your data, you first need to house it somewhere. Data warehousing provides a structured framework for housing multiple disparate sources of data that then become accessible to inform analysis and business decision making.
Giving businesses the insight when they need it, and how they need it to support decision making is the essence of business analytics (BA). BA tools allow business users to access their insights in interactive and engaging ways to improve their decision making at every level of the business.
By automating analytical models, Machine Learning provides an AI driven way to perform particular tasks related to patterns in data without human involvement