Q. What is one of the potential applications of data fusion technology in data warehousing?

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Q. What is the current state of data fusion technology in relation to data warehousing?

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Q. What is the primary challenge faced by many companies when it comes to data integration in data warehousing?

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Q. What are the different levels at which integration can occur in an information technology system?

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Q. What is the objective of data integration in an organization's information technology system?

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Q. Which type of integration is focused on controlling and managing the flow of transactions, messages, and data between applications?

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Q. What type of integration involves business process design tools and business process management tools?

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Q. What is the significance of multidimensional analysis in a data warehouse environment?

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Q. Which area of analysis helps organizations improve their understanding of customer behaviors, optimize business processes, and anticipate problems and opportunities?

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Q. What is the function of software agents in a data warehouse environment?

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Q. How can software agents benefit the analysis process in a data warehouse?

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Q. What is the essence of agent technology in a data warehouse environment?

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Q. What is the source of syndicated data that can enhance the value of a data warehouse?

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Q. What are some examples of syndicated data types that newer data warehouses are incorporating?

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Q. Why are many businesses adopting ERP (enterprise resource planning) applications?

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Q. What is a remarkable feature of ERP packages?

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Q. How are data stored within ERP packages typically accessed?

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Q. What was the initial promise of ERP (enterprise resource planning) solutions in the 1990s?

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Q. What was one of the key shortcomings of the initial ERP data repositories for decision-making purposes?

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Q. How did companies typically integrate ERP and data warehousing initiatives?

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