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Home > Master of Business Administration Online > Online MBA Curriculum > ERP 515/MIS 548 Business Intelligence

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ERP 515/MIS 548 Business Intelligence

Better insight into data builds better inroads to success.

Credits: 
3
Format: 
Online
Duration: 
8 weeks

The data you collect is only valuable if you know how to use it. Increasingly, analytics are being used to gain a competitive edge. When you’re able to base information on richer data sets and more complex models, you’re able to see a more developed picture of your industry’s landscape and better identify your company’s opportunities.

Your Flex Fit

Where does this course fall in your Flex curriculum?
ERP 515/MIS 548 is one of seven advanced courses offered in this program’s Enterprise Resource Planning (ERP) specialization.

Course Overview

Just the facts: that’s all data is. Business Intelligence (BI) takes those facts and transforms them into powerful tools to enable more effective strategic, tactical, and operational insights and decision-making. Simply put, Business Intelligence is a set of methodologies, processes, architectures, and, technologies that transform raw data into meaningful information.

In ERP 515/MIS 548, you’ll learn the tools and technologies used to turn data into competitive differentiation. You’ll see how Business Intelligence helps organizations manage large amounts of data, extract pertinent information, and transform that information into actionable knowledge through a number of applications.

  • Decision support
  • Query and reporting
  • Online analytical processing (OLAP)
  • Statistical analysis
  • Forecasting
  • Data mining

Through its two main components — Data Consolidation and Storage, and Data Retrieval, Analysis, and Presentation — Business Intelligence can show you how to retain customers, increase sales, and improve your product. Data is analyzed to help you understand not just that an event happened, but why it happened and how you proceed from there.

Sample Assignment

Using SAP’s Business Intelligence software, you’ll gain valuable experience creating various InfoObjects (characteristics and key figures), Data Targets (Data Store Object and InfoCube), and structures (InfoAreas and InfoCatalogs) to organize the InfoObjects and Data Targets.

You’ll explore the capabilities and benefits of Business Intelligence systems, data warehousing, and data mining techniques. You’ll also investigate Business Intelligence gathering techniques.

As you delve into the use of SAP's Business Intelligence software platform, you’ll examine its Data Warehouse structure, from InfoObjects (the basic building blocks of data warehouses) to InfoCubes. These play an integral role in executing the majority of the requests for Business Intelligence.Your focus will shift to Data Extraction, Transformation, and Loading (ETL), which are essential processes to the management of data, and Reporting and Analysis, an integral part of a Business Intelligence solution.

You’ll review the advanced analytical and data mining tools available in SAP’s Business Intelligence solution: Regression Analysis, ABC Analysis, Clustering Analysis, and Decision Trees. You’ll also learn to turn data into a dashboard, a visual display of an organization’s Key Performance Indicators used by many top-level executives to monitor important indicators.

Sample Course Topics

  • Introduction to Business Intelligence
  • Data Modeling
  • Info Cubes
  • Data Extraction, Transformation, and Loading
  • Reporting and Analysis
  • Advanced Analytics (Data Mining)
  • Dashboards
What are some of the pros and cons of modeling unstructured data?

Explore this and more in ERP 515/MIS 548

What You’ll Learn

In ERP 515/MIS 548, you’ll learn how to generate useful and actionable knowledge to help companies compete effectively.

  • Understand the processes involved in generating intelligent information (Business Intelligence).
  • Know the techniques and technologies used in gathering Business Intelligence.
  • Be able to use SAP’s Business Intelligence software.
  • Appreciate how multi-dimensional data models are developed and how data warehouses are created.
  • Explore the analytical techniques like Online Analytical Processing (OLAP) and Data Mining.

Learn More

Analytics is the future. For more information about The University of Scranton’s online Master of Business Administration degree, request more information or call us today toll-free at (866) 373-9547.

The content presented on this page is representative information for example purposes and is subject to change as course and student needs change over time.