Business intelligence guidebook - from data integration to analytics

Between high-level business intelligence concepts and the detailed instructions for vendor tools lies a crucial, yet often overlooked, layer of architecture, design, and process. Without this understanding, Big Data initiatives can falter, leading to delays and budget overruns. This guide illuminates this essential topic, equipping you with the knowledge needed to create robust business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman demystifies the creation of cost-effective, reusable systems that convert raw data into valuable insights for decision-makers. After engaging with this material, you'll be prepared to design the architecture for effective business intelligence systems, supported by data warehousing and integration applications. You will gain the insights necessary to launch, manage, and deliver projects on time and within budget, transforming vast data into actionable intelligence that drives business success. Additionally, this knowledge will enhance your career by showcasing expertise that accelerates corporate BI project success. The book provides practical guidelines for developing effective BI, data warehousing, and integration solutions, using clear language to explain design and architecture processes. It covers the complete project development lifecycle applicable to both large enterprises and small to medium-sized businesses, detailing best practice