I am constantly updating the material for the courses that I teach. As part of this effort, I have been working on a new course in Business Intelligence. The content of this course is also known by other names such as Data Analytics or Big Data. Here, the interest for me extends beyond teaching because today businesses collect very large volumes of data from a variety of sources such as social media, e-mail, sales, marketing, e-commerce, manufacturing, logistics, etc. Analyzing this data quickly and extracting the necessary knowledge for decision making is facilitated by tools designed for handling large volumes of data. I have been working with one such tool, Tableau, for over an year. In Spring 2012, I taught an MBA course in Business Intelligence online using Tableau which was well received by the students. In June 2012, Tableau invited me to attend one of their training sessions. I took advantage of this opportunity and attended the two day training which gave me several additional capabilities to use Tableau. I plan to use these additional features in my teaching. My goal is to start posting more information on the use of Tableau as a tool for data analysis. 

History of Business Intelligence 

Business Intelligence Course Description: Business Intelligence (BI) is a multifaceted concept that includes the tools, architecture, data warehouses and methods supporting data collection, analysis and presentation. The principal focus of the course is on major managerial and strategic issues related to collection, integration, distribution and analysis of enterprise-wide information quickly and effectively. BI is used today not only in executive level decision making but also at the operational and other levels. The topics covered in this course that will support these aspects are: BI spectrum, BI cycles, data extraction, data warehouse, data mining, Online Analytical Processing (OLAP), Business Process Management (BPM), multi-dimensional data analysis, visualization, clouds for BI, data security and ethical handling of data. The students will be introduced to some leading edge technical tools for hands-on data analysis and integration that goes beyond Excel and Access. 

Texas Southern University (2013 - Present) Courses 

  • Management of Information Systems (Masters in MIS)
  • Project Management (Masters in MIS)
  • Topics  in Information Systems (Masters in MIS) - Cloud Computing
    • Cloud Computing
    • Big Data
    • Data Branches

Texas A&M International University (2010 - 2013) Courses  

  • Business Intelligence (MBA level)
  • Management of Information Systems (MBA level)
  • Emerging Technologies (Doctoral seminar)
  • Systems Analysis and Design (BBA level)
  • Information Systems Design and Implementation (MBA level)
  • Data Communications and Networking (BBA level)