Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This book embarks on a journey through the evolving landscape of Business Intelligence (BI) and data analysis, exploring the intersection of traditional methodologies with cutting-edge Artificial Intelligence (AI) technologies. The book begins with an introduction to BI, then explores the analytics process and essential tools. Chapters on understanding data, big data, and data integration provide insights into managing and effectively leveraging vast amounts of information. Additionally, topics such as governance, security, privacy, and ethics shed light on the ethical considerations and regulatory frameworks surrounding data usage. As we delve deeper, we explore the intricacies of data warehousing, data lakes, extraction, transformation, and loading (ETL) and data design. We will introduce you to the benefits and application of programming languages like R, SQL, and Python, which are extensively used for data manipulation and analysis.

Business Intelligence and Data Analysis in the Age of AI (MLI Generative AI Series) PDF

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