Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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Discuss the principles of data warehousing in a business intelligence context. How does a data warehouse differ from a transactional database, and what are the benefits of using data warehousing for reporting and analytics?
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- How can businesses use data dictionaries to align their data assets with overarching business objectives?arrow_forwardDemonstrate how data is essential in all areas of business and how it can give you a competitive edge in the market.arrow_forwardExplore the concept of data warehousing and its role in business intelligence. How do data warehouses differ from operational databases, and what are their key components?arrow_forward
- What is the best way to collect data and create a database? Differentiate among structured, semi-structured, and unstructured data, giving business examples of each.arrow_forwardExplore the role of OLAP (Online Analytical Processing) in data warehousing. How does it enable complex data analysis and reporting?arrow_forwardDescribe the key features of CRM analytics and reporting for tracking sales and customer service performance.arrow_forward
- Describe the critical steps that an organization may do to improve the quality of its data.arrow_forwardDescribe the value of business intelligence and the role that BI software plays in achieving that value.arrow_forwardHow can data dictionaries support organizations in achieving regulatory compliance, especially in industries like finance or healthcare?arrow_forward
- What is the role of data analytics in business? Who is responsible for performing data analytics? How is data analytics performed?arrow_forwardExplain the concept of data transformation in data management. How can organizations effectively transform data to meet specific analytical or reporting requirements?arrow_forwardGiven the particular data collection strategy employed, can indexes/scales be used to measure concepts of interest?arrow_forward
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