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Business Intelligence Revision note. What to revise? Read all the slides, pay attention to the learning outcomes listed (objectives) in all chapters,

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Presentation on theme: "Business Intelligence Revision note. What to revise? Read all the slides, pay attention to the learning outcomes listed (objectives) in all chapters,"— Presentation transcript:

1 Business Intelligence Revision note

2 What to revise? Read all the slides, pay attention to the learning outcomes listed (objectives) in all chapters, ask yourself if you are able to demonstrate the knowledge identified in the learning outcomes Revise all the questions discussed in tutorials, if the questions ask for examples, work on providing relevant examples and always try to match with the main objectives of BI in business Use table to provide comparison, ensure the points discussed relate to the ones compared to Help me to help you – look after the format & handwriting and structure and label your answers accordingly

3 How much is enough? Look at the marks allocated. Try to work out the math for the points required in your answer. Example : In Business Performance Management, it has been identified that there are four sources for the gap between strategy and execution. Identify each gap. [4 marks] Answer: Four sources of gap are : Vision (viability, suitability to the organization) People (are they ready?) Management (do they agree?) Resources (are the infrastructure ready?) (Award 1 mark each for the correct identification)

4 Compare and contrast Always use table Identify the basis for each comparison Try to make a contrasting point for each items to be compared. ElephantsCats Weight1000kg4kg HabitatJungleHome Length5 meter0.8 meter ??

5 Segmenting your answer If ask to identify a few list of items, segment your answer, don’t combine discussion on all of the items in one paragraph. E.g. Identifying project activities Planning: Setting goals and objectives etc…… Data Gathering : Establishing data/information/requirement …… Design : Based on data gathered …. Develop: Develop the system ……. rather than The first process is ………………………………………………………………………………………………………………… …………………… The second process is The third process is

6 Answer to the question Identify what are the questions that need to be answered. E.g. Describe OLAP in detail and explain why it has become important in decision making process. Include in your answer a discussion on how does OLAP differ from OLTP.

7 What you must be comfortable explaining Topic 1 – Changes in Business Environment and Managerial Decision Making Learning outcomes: Critically discuss problems faced by today’s business and ways they are being addressed Discuss the need for computerized support of managerial decision making Keywords: Structured and unstructured decision making, ubiquity, business environment factors

8 Keywords you must be comfortable explaining Topic 2 – Understanding BI Part I Learning Outcomes: Explain the concept of Business Intelligence Keywords : Strategy gaps, Business Intelligence, Data warehouse, Business Analytics, Business Performance Management, Major Issues in Implementing BI

9 Keywords you must be comfortable explaining Topic 3 – Understanding BI Part II Learning Outcomes: Discuss the use of BI Describe the major types of BI users Describe major issues in implementing BI Keywords: Operational Excellence – Operational Excellence, Customer Intimacy, Product Leadership – Competitive Intelligence – Competitive Advantage – OLAP – OLTP

10 Keywords you must be comfortable explaining Topic 4 – Data Warehouse Part I Learning Outcomes: Understand the basic definitions and concepts of data warehouses Understand how a data warehouse differs from an operational database Describe the characteristics of data warehouse Describe data warehouse process overview Describe the different types of data warehouse architectures

11 Keywords you must be comfortable explaining Topic 5 – Data Warehouse Part II Learning Outcomes: Describe the processes used in developing and managing data warehouses Explain data integration and the extraction, transformation, and load (ETL) processes Describe real-time (active) data warehousing Understand data warehouse administration and security issues

12 Keywords you must be comfortable explaining Topic 6 – Business Analytics & Visualization Learning Outcomes: Explain the concept of multidimensionality and how can it improve decision making Explain the concept of cube in multidimensionality Explain Geographic Information Systems (GIS) and its role in BI

13 Keywords you must be comfortable explaining Topic 7 – Data Mining Describe data mining, its characteristics and objectives in business Identify and explain the common algorithms used in data mining Discuss the use of data mining in different types of business Discuss the importance of data mining in understanding customers’ behaviours Discuss text mining

14 Keywords you must be comfortable explaining Topic 8 – Business Performance Management Business performance management (BPM) definition BPM’s closed-loop processes Strategy gap factors The differences between scorecards and dashboards

15 Question 2 Ubiquity in computing is said to offer capabilities to facilitate decision support. Explain ubiquity with example.

16 Question 3 Explain structured decision making with example

17 Question 4 Explain unstructured decision making with example

18 Question 5 Explain Business Intelligence

19 Question 6 Explain strategy gap with example

20 Question 7 Explain how Business Intelligence can help closing the Strategy gap

21 Question 8 Identify 4 major components of Business Intelligence

22 Question 9 Identify and briefly describe the 3 environments in BI

23 Question 10 Enterprises can maximize their BI investments by achieving operational excellence, customer intimacy and product leadership. Explain operational excellence

24 Question 11 Enterprises can maximize their BI investments by achieving operational excellence, customer intimacy and product leadership. Explain customer intimacy

25 Question 12 Enterprises can maximize their BI investments by achieving operational excellence, customer intimacy and product leadership. Explain product leadership

26 Question 13 Explain OLTP

27 Question 14 Explain OLAP

28 Question 15 Explain competitive intelligence

29 Question 16 Identify and explain one type of BI user

30 Question 17 Identify and explain one type of BI user

31 Question 17 Identify and explain one type of BI user

32 Question 18 Understanding and dealing with the user community is said to be one of the BI implementation issues. Explain this notion.

33 Question 19 Explain data warehouse. How does it differ from operational database?

34 Question Explain one out of four 4 main characteristics of data warehousing

35 Question 24 Explain the data warehousing process

36 Question Illustrate one of the data warehouse architectures

37 Question Explain the following guidelines in considering a vendor for data warehouse project. – Financial strength – Qualified consultants – Market share – Industry experience – Established partnerships

38 Question Describe the two approaches in data warehouse development

39 Question 34 Describe data mining and explain its importance to organizational decision making

40 Question 35 Describe the 4 common data mining algorithms and their examples of use in business

41 Good Luck No handphones in exam hall please


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