Business intelligence architecture is a set of frameworks to organize the data, management, and technical components used to build BI systems. Architecture plays an important role in BI programs and projects, ensuring that the development efforts of multiple projects fit neatly together as a cohesive whole. Comprehensive architecture addresses data, technology, integration, business rules, processes, projects, and more. Multifaceted, multidimensional, and complex—BI architecture is clearly a team job that involves data architects, integration architects, technology architects, and more. With the right knowledge and skills, your BI architects become an effective team able to handle the many complexities of BI systems.

You Will Learn

• The full scope of architectural objectives—structural integrity, standardization, reusability, environmental fit, aesthetics, and sustainability
• A framework to ensure architectural completeness—business, organization, data, integration, and process views
• A framework to organize BI components—access, analysis, presentation, storage, integration, and data source tiers
• A framework to organize the information management stack—data, integration, rules, tools, teams, reports, analysis, and application
• A framework to organize architectural requirements—functional, data, operations, environment, and structural requirements
• A framework to organize technology requirements—data access, data manipulation, data analysis, reporting, visualization, security, portability, and accessibility
• Technology trends and BI architecture—cloud, SaaS, open source, appliances, advanced visualization
• Organizational options for best fit of BI into your culture—conglomerate, cooperative, and centralized
• Data integration options in BI architecture—bus, hub and spoke, hybrid, federation, and virtualization