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Business intelligence architecture can be defined as a framework that provides standards, best practices and policies that help in analyzing business data. Business intelligence architecture provides a set of computer-based techniques that can be used to create business intelligence systems for business intelligence data reporting and analysis.
Business intelligence architecture plays a vital role in business intelligence projects by influencing overall development and implementation decisions. Business intelligence architecture seeks to help organizations and businesses make better decisions.
Business intelligence technologies are mainly used in online analytical processing, data mining, process mining, benchmarking, text mining, ad hoc queries and predictive analytics. The data components of business intelligence architecture are the data sources that both end users and people from different organizations access and analyze to meet their organization’s business requirements. Important factors that need to be considered when selecting a source of data include data currency, data quality and the level of detail in the data.
Business intelligence architecture may include both structured and unstructured data, as well as information from both internal and external sources. The data that can be used by business intelligence systems are usually transformed from raw transaction data into logical and lucid information by the information management architecture.
Business intelligence can be implemented in the following areas of business, including measurement, analytics, reporting, collaboration platforms and knowledge management.