Data for making intelligent business decisions

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Reference no: EM13920291

Assignment 3: Business Intelligence and Data Warehouses

Businesses today are extremely reliant on large amounts of data for making intelligent business decisions. Likewise, the data warehouses are often structured in a manner that optimizes processing large amounts of data.

Write a two to three (2-3) page paper in which you:

  • Outline the main differences between the structure of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data.
  • Outline the main differences between database requirements for operational data and for decision support data.
  • Describe three (3) examples in which databases could be used to support decision making in a large organizational environment.
  • Describe three (3) examples in which data warehouses and data mining could be used to support data processing and trend analysis in large organizational environment.
  • Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

Your assignment must follow these formatting requirements:

  • Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format.
  • The cover page and the reference page are not included in the required assignment page length.
  • The specific course learning outcomes associated with this assignment are:
  • Describe the role of databases and database management systems in managing organizational data and information.
  • Distinguish the role of databases and database management systems in the context of enterprise systems.
  • Use technology and information resources to research issues in database systems.
  • Write clearly and concisely about relational database management systems using proper writing mechanics and technical style conventions.
  • Click here to view the grading rubric for this assignment.

Reference no: EM13920291

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