MARKETING:REAL PEOPLE,REAL CHOICES
10th Edition
ISBN: 9780135199893
Author: Solomon
Publisher: RENT PEARS
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Chapter 5, Problem 6QA
Summary Introduction
To determine: The role of data scientist in analyzing data, artificial intelligence and machine learning.
Introduction: The set of facts figure details collected for analysis or reference are celled as data. Companies maintain data through database management and analyze data to get valuable information from it for decision making purpose.
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How is data warehousing related to business intelligence?
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MARKETING:REAL PEOPLE,REAL CHOICES
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, marketing and related others by exploring similar questions and additional content below.Similar questions
- Make a list of data that is collected all day long in the world around you and to discuss how that data is used. What data is general data or data available to the public? What data is personal information data? Do you think data is being collected about you that you don't know about? If so, how is it collected? Are you concerned about any data that is being collected? Research and find current examples of personal data that has been exploited. Was the exposure of the data harmful to the person the data is associated with? To others? In what way? Is the concern regarding the collection of personal data overblown? Why or why not?arrow_forwardWhat is the role of Analytics?arrow_forwardWhat are the challenges associated with data quality and data governance in data warehousing?arrow_forward
- How can data warehousing benefit organizations in terms of decision-making, reporting, and analytics?arrow_forwardWhat is the role of data analytics in business? Who is responsible for performing data analytics? How is data analytics performed?arrow_forwardWhat are some emerging trends in data warehousing, such as cloud-based data warehousing and the integration of AI and machine learning for data analytics?arrow_forward
- How does the use of AI and machine learning algorithms enhance data warehousing capabilities for predictive analytics and insights generation?arrow_forwardHow can organizations leverage data warehousing to implement advanced analytics, such as machine learning and predictive analytics, for business insights?arrow_forwardDescribe the concept of data warehousing and its importance in modern business intelligence. What are the key components and challenges associated with data warehousing?arrow_forward
- Explain the concept of data warehousing and its relevance in modern business intelligence.arrow_forwardWhat are some challenges and best practices associated with data quality and data governance in data warehousing?arrow_forwardHow does data warehousing enhance decision-making and business intelligence within an organization?arrow_forward
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