Business Intelligence and Data Analysis in the Age of AI.

Format:

Book

Author/Creator:

Khan, Arshad.

Series:

MLI Generative AI Series

Language:

English

Subjects (All):

Business intelligence.

Artificial intelligence.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed.

Place of Publication:

Herndon, VA : Mercury Learning & Information, 2025.

Summary:

This book explores the principles and applications of business intelligence (BI) and data analysis in the context of artificial intelligence (AI). It covers topics such as data integration, data warehousing, analytics processes, big data, and techniques for improving data quality and integration. The book emphasizes the importance of using advanced BI tools and technologies, including predictive analytics, natural language processing, and augmented analytics, to drive informed decision-making and improve organizational performance. It also addresses challenges such as data governance, privacy, and the management of unstructured data. Written for professionals, students, and organizations seeking to leverage AI-driven solutions, the book provides a comprehensive guide to understanding the evolving landscape of BI and analytics. Generated by AI.

Contents:

Half Title

Title

Copyright

Contents

Preface

Chapter 1: Introduction to Business Intelligence

Overview

Definition

Evolution

Concept

Importance

Application

Usage

Decision-Making

Usage Categorization

User Diversity

Technology

Techniques

Tool Categories

Core Components

Data Sources

Data Integration

Data Warehousing

Extract, Transform, Load (ETL)

Data Modeling

Reporting and Querying

Data Analysis

Data Visualization

Performance Management

Metadata Management Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

1-5015-2301-5

1-5015-2297-3

OCLC:

1505735355