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SAP BusinessObjects is an established BI platform for reporting, analysis and visualization of business data. It provides centralized metadata management, ad-hoc reporting, dashboards and connectors to many data sources. Operation requires infrastructure, governance and integration effort, while enabling standardized reporting and user self-service.
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Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
Business Objects is an enterprise BI platform for reporting, dashboards, and ad hoc analysis across many heterogeneous data sources.
Business Objects began in 1990 as a company founded by Bernard Liautaud and Denis Payre; the original concept and first implementation are attributed to Jean-Michel Cambot. The product evolved into a BI suite for reporting, analysis, and information delivery across different data sources. SAP acquired the company in 2007; since 2009 the product line has been known as SAP BusinessObjects.
Think of Business Objects as a BI layer between source systems and business users. Connectors pull data from operational and analytical sources. A central metadata and semantic layer defines terms, metrics, and relationships so reports and ad hoc queries stay consistent. On top of that sit dashboards, standardized reports, and OLAP-style analysis.
Predefined reports deliver repeatable metrics and consistent formats for management and business teams.
Business terms, relationships, and calculations are separated from physical tables so analysis remains understandable.
Reports, objects, definitions, and access rules are described and maintained centrally.
Multidimensional analysis enables fast exploration along dimensions and measures.
Access, quality, and responsibilities must be clearly governed so self-service remains controlled.
The platform connects to many data sources and makes their content usable through shared interfaces.
Business Objects is a good fit when an organization wants to standardize reporting, align business definitions, and deliver data from many sources in a controlled way. Its value increases with clear governance and a well-designed model; the trade-off is infrastructure, integration, and maintenance effort. For lightweight, rapidly changing visualization needs, operating it can be heavier than using slimmer BI tools.
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