Knowledge management systems kms create value by

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Knowledge management systems (KMs) Create value by collectiong and sharing human knowledge about products, products uses, best practices, other critical knowledge Used by employees, managers, customers, suppliers, others who need access to company knowledge 4. Expert systems (ES) Encapsulates knowledge in form of “IF/Then” rules Operational ES can have thousands of rules ES can improve diagnostic and decision quality of nonexperts What Problems Do Operational Data Pose for BI Systems? o Raw data usually unsuitable for sophisticated reporting or data mining o Dirty data – mistakes in spelling or punctuation, incorrect data associated with a field, incomplete or outdated data or even data that is duplicated in the database. o Values ma be missing o Inconsistent data o Non-integrated data o Wrong granularity What Are the Purpose and Components of a Data Warehouse? o To extract and clean data from various operational systems and other sources o To store and catalog data for BI processing
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o Extract clean and prepare data o Stored in data-warehouse DBMS What Is a Data Mart, and How Does It Differ from a Data Warehouse?
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