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BABI 9020 - Utilizing Data Structures for Business Analytics

Bus Analytics & Bus Intelligen Part-time Studies Course

School of Business

Course Details

Insight without relevance is meaningless in Business Analytics. Relevance comes from a deep understanding of the data and the methods used to store and access it. This course enables students to perform complex tasks associated with data in the business environment, from storage to access. Using current Business Analytics database technologies, students will explore the different storage systems and constructs, the use of analytics structures to define data cubes, and the tools used to perform ETL (Extract, Transform, Load) operations on existing datasets to support Business Analytics. An integral part of the course will be a project in which students will build and demonstrate a fully integrated analytical model—from entering data into an existing Relational Database Management System (RDBMS) and using ETL tools to get relevant data into the analytical database (cube), to running analytical queries on the cube to provide meaningful insight into the data.


BABI 9010



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Gravitying Outcomes

Upon successful completion of the course, the student will be able to:

  • Explain how analytical models are designed using the star schema.
  • Create and populate an analytics model using ETL tools to move data between systems.
  • Design a cube to store analytical data.
  • Use one or more analytics tools to query the cube data.
  • Select and guide the development of databases and data sources to meet different business needs within the framework of data governance and ethical business standards.
  • Generate key metrics and indicators based on an analysis of available data.
  • Plan and manage the database systems needed to execute a business analytics project.

Effective as of Fall 2016

Related Programs

BABI 9020 is offered as a part of the following programs:

School of Business

  1. Business Analytics
    Part-time   Graduate Certificate


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