Explanatory Analytics Employs Mathematical and Statistical Algorithms, Neural Networks, Artificial
Explanatory analytics employs mathematical and statistical algorithms, neural networks, artificial intelligence, and other advanced modeling tools to create actionable predictive models based on available data.
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Q5: The data warehouse development life cycle differs
Q6: In the prognosis phase, the data-mining findings
Q6: To provide better performance,some OLAP systems merge
Q8: Operational data and decision support data serve
Q9: Decision support data are a snapshot of
Q11: Business intelligence is a framework that allows
Q13: Queries against operational data typically are broad
Q17: Relational data warehouses use multidimensional data schema
Q18: Business intelligence (BI)architecture is composed of data,people,processes,technology,and
Q19: A star schema is designed to optimize
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