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Business Intelligence

Business Intelligence
  • Code: BUS8TF017
  • Extent: 6 credit points (162 h)
  • Timing: Semester 7
  • Language: English
  • Level: Professional studies
  • Type: Optional

Prerequisites

80 credit points registered in Winha before course start. Knowledge of ERP systems, data structures and business processes is strongly recommended.

Learning outcomes

Upon successful completion of the course, the student

  • understands the importance of Business Intelligence in todays’s competitive business environment
  • is familiar with the basic concepts, BI architectures, methodologies and strategies as well as with tools and technics used in the business environment
  • understands the steps in the planning process of BI solutions and has gained some experience in planning a BI-solution
  • has gained some skills in using market leading BI tools for analyzing business information and data

Course contents

  • Orientation to Business Intelligence
    • selected articles and books, e-books
  • Business Intelligence solutions and architectures
  • The course provides 3 tracks for business intelligence tools
    • Microsoft BI
      • Self Service BI including Power Pivot
      • The Semantic BI
      • SQL Server 2012, SQL Server 2008
    • SAP Business Objects
    • Qlikview desktop and Server / Publisher
  • Extensive hand on workshops with BI tools and solutions
  • Case: Planning a business intelligence solution with a leading tool/stack

Cooperation with the business and other organisations

Research assignment
Guest lectures

International dimension

Guest lecturers from international companies. International learning materials.

Teaching and learning methods

  • Lectures, workshops, articles and journal assignments 64 h
  • Individual assignments, hands-on labs and individual study 77 h
  • Case 17 h
  • Exam 3 h
  • The assessment of one’s own learning 1 h
     
  • This course accepts enrolments after the normal enrolment period.
  • The course can partly be done by e-learning.
  • Every student follow an individual study plan.
  • The course appreciates individual focus and approaches

Recognition of Prior Learning (RPL)

To get a passing (P) grade and exemption from the course, student must display and demonstrate the competence by certificates from earlier studies or work experience covering the course objectives and contents. It is possible to participate in the competence demonstration only once before taking the course.

    Course material

    Course books:

    • New Era of Enterprise Business Intelligence: Using Analytics to Achieve a Global Competitive Advantage: Mike Biere, IBM Press 2011  
      ISBN 978-0-13-707542-1; Biere
    • E-book: Business Analytics for Managers : Taking Business Intelligence Beyond Reporting: Laursen Gert &Thorlund Jesper, Wiley 2010. Link to source via HAAGA-HELIA Library e-books http://site.ebrary.com/lib/haagahelia/docDetail.action?docID=10399044
    • Agile Analythics – A Value-Driven Approach to Business Intelligence  
      and Data Warehousing: Ken Collier, Addison-Wesley 2012: Ken Collier, Addison-Wesley 2012
      ISBN 978-0-321-50481-4
    • Business Intelligence Applied: Michael S. Gendron, John Wiley & sons 2013
      ISBN 978-1-118-42308-0
    • Other books as defined by teacher

    Provided articles, resources, links and other material on Business Intelligence in the E-learning environment

    • Microsoft training and education material
    • Qlikview training material
    • SAP University Alliance course materials

      Teacher responsible

      Ralf Rehn

      Assesment criteria

      The course is evaluated on a scale 1 to 5.

      Grade 5 (90 %) Grade 3 (70 %) Grade 1 (40 %)

      The student:

      • has a very good understanding of the importance of Business Intelligence
      • is very familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI
      • is well aware of  the steps in the planning process of BI solutions
      • has good skills  in using market leading BI tools for analyzing business information and data

      The student:

      • has a good understanding of the importance of Business Intelligence
      • is quite familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI
      • is aware of  the steps in the planning process of BI solutions
      • has some skills in using market leading BI tools for analyzing business information and data

      The student:

      • has a basic understanding of the importance of Business Intelligence
      • is familiar with the at least some of the basic concepts, architectures, methodologies, strategies, tools or technics in BI
      • has basic skills in using market leading BI tools for analyzing business information and data

      Modes of assessment and their weight

      • 40 - 60 % activity and individual contribution
      • 40 - 60 % exam

      The assessment of one’s own learning does not influence the grade. The assignment is the same for all courses/modules and the answers will also be used for course/module development. The assignment is completed online in WinhaOpaali.