•   Business Intelligence BIG4TF022-3009 22.08.2022-14.10.2022  5   (TF7WAD, ...) +-
    Learning objectives
    Upon successful completion of the course, the student
    a) understands the importance of Business Intelligence in today's competitive business environment
    b) is familiar with the basic concepts, BI architectures, methodologies and strategies as well as with tools and methods used in the business environment
    c) has basic knowledge of the ETL process
    d) has basic understanding of business driven agile BI-development
    e) has gained basic skills in two word leading BI-tools
    Starting level and linkage with other courses
    It is recommended that students have more than
    80 credit points registered before course start. Knowledge of ERP systems, data structures and business processes are
    helpful
    Contents
    Start-up Module + 4 Modules
    - Orientation to Business Intelligence
    - Business Intelligence solutions and architectures
    - Agile development in BI-projects
    - Business Intelligence tools
    - Microsoft Business Intelligence and Power BI
    - Qlikview / QlikSense
    - Hands on workshops with BI-tools
    Assessment criteria
    Assessment criteria - grade 1
    The student:
    a) has a basic understanding of the importance of Business Intelligence
    b) is familiar with at least some of the basic concepts, architectures, methodologies, strategies, tools or technics in BI
    c) has basic skills in using market leading BI tools for analyzing business information and data
    Assessment criteria - grade 3
    The student:
    a) has a good understanding of the importance of Business Intelligence
    b) is quite familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI
    c) is aware of the steps in the planning process of BI solutions
    d) has some skills in using market leading BI tools for analyzing business information and data
    Assessment criteria - grade 5
    The student:
    a) has a very good understanding of the importance of Business Intelligence
    b) is very familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI
    c) is well aware of the steps in the planning process of BI solutions
    d) has good skills in using market leading BI tools for analyzing business information and data
    Further information
    The software tools and languages used on the course are international. The language of the course material is in English. Students from many nationalities work together in class on hands-on and/or projects.

    Teaching methods and instruction

    Link to current updated impl plan
    https://haagahelia-my.sharepoint.com/:b:/g/personal/h00503_haaga-helia_fi/BI002/EZ5pOP1O41VMiQyyegqWVR8BqaUIxAXCDNR6yd2a135s7g?e=qD6NYx

    Learning material and recommended literature

    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
    o E-book: Business Analytics for Managers : Taking Business Intelligence Beyond Reporting: Laursen Gert &Thorlund Jesper, Wiley 2010.
    o Business Intelligence Applied: Michael S. Gendron, John Wiley & sons 2013 ISBN 978-1-118-42308-0
    o Other books as available in Moodle platform
    Provided articles, resources, links and other material in the E-learning environment
    Microsoft Business Intelligence samples and material. Qlikview tutorials and sample material

    Campus

    Pasila Campus

    Exam dates and re-exam possibilities

    No exam

    Teaching language

    English

    Timing

    22.08.2022 - 14.10.2022

    Learning assignments

    1. Start-up module • Preparation, guidelines, • Introduction to tools used • Study plan, getting ready to start working • Start-up Quiz • 8 course points (cp) 2. Module 1 - Orientation and Power Pivot • Lecture 1 and 2 • Journals • Demonstration • Quiz • 22 course points (cp) • Running total = 30 p 3. Module 2 - Orientation and Power BI Desktop • Lecture 3 • Journals • Workshops and Task • preliminary 25 course points (cp) • Running total = 55 p 4. Module 3 - Tableau Desktop • Lecture 4 • Journals • ….. • preliminary 25 course points (cp) • Running total = 80 p 5. Module 4 - Agile development • Lecture 5 • Journals • …. • preliminary 20 course points (cp) • Running total = 100 p 6. Official course feedback and feedback directly to teacher • 2 cp • Running total = 102 p

    Enrollment

    13.06.2022 - 19.08.2022

    Content scheduling

    Course starts onthe first period - first week and is for 8 weeks. However you
    can finish the course on the itesnsive week = 9 weeks

    Groups
    • TF7WAD
    • TF3SWD
    • TF3DIG
    • TF7BIT
    • VIRTUAL
    • EXCH
    Alternative learning methods

    RPL is possible, you need to contact teacher immidiately at course start.

    Teachers

    Ralf Rehn

    Seats

    15 - 40

    Further information

    Grade 5 (90%)
    The student has a very good understanding of the importance of Business Intelligence and is very familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI. The student has excellent skills in using market leading BI tools for analyzing business information and data.
    Grade 3 (70%)
    The student has a good understanding of the importance of Business Intelligence and is quite familiar with the basic concepts, architectures, methodologies, strategies, tools and technics in BI. The student has good skills in using market leading BI tools for analyzing business information and data.
    Grade 1 (50%)
    The students has a basic understanding of the importance of Business Intelligence and is familiar with the at least some of the basic concepts, architectures, methodologies, strategies, tools or technics in BI. The student has basic skills in using market leading BI tools for analyzing business information and data.
    Assessment procedure and setup
    The course grade is defined by the amount of course points achieved:
    >=90 p = Grade 5 >=80 p = Grade 4 >=70 p = Grade 3 >=60 p = Grade 2 >=50 p = Grade 1 >=40 p = Grade 1 possible with some extra successful deliveries – contact teacher <40 p = Fail

    Degree Programme

    BITE Degree Programme in Business Information Technology

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5