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<ul><li>Chapter 3 </li></ul><ul><li>Databases and Data Warehouses </li></ul><ul><li>Building  B usiness  I ntelligence </l...
What is the chapter all about This chapter deals with the different elements of  creating knowledge  in an organization an...
What is the chapter all about Having the right  tools  to create/build  Business Intelligence  revolves around the capturi...
What is the chapter all about Click on me for a shortcut. Click on me for a shortcut. BUSINESS INTELLIGNECE KNOWLEDGE INFO...
In order to understand how this gain in BI occurs you need to learn the following: <ul><li>Understand BI and where it come...
BI and Where it Comes From Environment Data Information Knowledge Business Intelligence Aggregation
<ul><li>To Develop Business Intelligence (B.I.) </li></ul>2. You have to structure and organize the data gathered. 3. You ...
IT  to Build BI Database Management Systems Information Systems Online Analytical Processing Aggregate Information = Knowl...
Database Management Systems Information Systems Online Analytical Processing Online Transaction Processing (OLTP) is the g...
Database Management Systems Information Systems Online Analytical Processing Databases and Database Management Systems (DB...
Database Management Systems Information Systems Online Analytical Processing Information systems at this point are develop...
Database Management Systems Information Systems Online Analytical Processing Online Analytical Processing (OLAP) is the ma...
Business Intelligence <ul><li>Figure 3.1 </li></ul><ul><li>Building Business Intelligence </li></ul><ul><li>page 79 </li><...
IT for Business Intelligence (IT4BI MAP)  The relational database model The Database Management Systems Data Warehouses an...
IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page ...
IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page ...
IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page ...
MANAGING THE INFORMATION RESOURCE  <ul><li>The success of an organization strongly depends on the proper  organization  an...
MANAGING THE INFORMATION RESOURCE  <ul><li>Information officers. </li></ul><ul><li>The influence of changes in technology ...
<ul><li>Chief information officer  ( CIO )  - responsible for overseeing an organization’s information resource.  </li></u...
MANAGING THE INFORMATION RESOURCE  How Will Changes in Technology Affect Organizing and Managing Information? <ul><li>As n...
MANAGING THE INFORMATION RESOURCE  Is Information Ownership a Consideration? <ul><li>Information ownership is a key consid...
MANAGING THE INFORMATION RESOURCE  What Are the Ethics Involved in Managing and Organizing Information? <ul><li>Databases,...
Closing Case Study One We’ve Got OLTP Covered; Let’s Go on to OLAP <ul><li>What is the single most important factor that h...
Closing Case Study Two Mining Dining Data <ul><li>Consider the issue of timely information with respect to the businesses ...
Summary  Student Learning Outcomes   <ul><li>Describe business intelligence and its role in an organization.  </li></ul><u...
Summary  Student Learning Outcomes <ul><li>List and describe the key characteristics of a data warehouse.  </li></ul><ul><...
Summary  Assignments & Exercises <ul><li>Finding “hacked” databases </li></ul><ul><li>Defining queries for a video rental ...
Real Hot Electronic Commerce Searching Online Databases and Information Repositories <ul><li>Financial aid resources </li>...
Visit the Web to Learn More www.mhhe.com/haag <ul><li>Financial aid resources </li></ul><ul><li>Libraries </li></ul><ul><l...
Appendix Beyond this point the slides are not in any order. They are part of the interactivity.
<ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary t...
<ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary t...
<ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary t...
Chapter 3 What is the chapter all about? Understanding Business Intelligence IT4BI - MAP Where BI comes from To develop BI...
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Transcript of "Check out McGraw Hill's Website for more Information!"

  1. 1. <ul><li>Chapter 3 </li></ul><ul><li>Databases and Data Warehouses </li></ul><ul><li>Building B usiness I ntelligence </li></ul>
  2. 2. What is the chapter all about This chapter deals with the different elements of creating knowledge in an organization and having the right tools to work with this knowledge to gain Business Intelligence .
  3. 3. What is the chapter all about Having the right tools to create/build Business Intelligence revolves around the capturing, use and management of information, hence Information Resource Management gains importance.
  4. 4. What is the chapter all about Click on me for a shortcut. Click on me for a shortcut. BUSINESS INTELLIGNECE KNOWLEDGE INFORMATION DATA (Click next to continue) MANAGEMENT TOOLS
  5. 5. In order to understand how this gain in BI occurs you need to learn the following: <ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary to develop BI. </li></ul>3 IT for BI 2 Dev. 1 Origin BI
  6. 6. BI and Where it Comes From Environment Data Information Knowledge Business Intelligence Aggregation
  7. 7. <ul><li>To Develop Business Intelligence (B.I.) </li></ul>2. You have to structure and organize the data gathered. 3. You can then aggregate related data into information. 4. Finally you can manipulate the information into knowledge. Building Towards B. I. Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data 1. You need to gather data first.
  8. 8. IT to Build BI Database Management Systems Information Systems Online Analytical Processing Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data OnLine Transaction Processing Data Information Knowledge Business Intelligence
  9. 9. Database Management Systems Information Systems Online Analytical Processing Online Transaction Processing (OLTP) is the gathering of input data, verifying for data quality and integrity and storing this data in the appropriate location in the database(s). OLTP systems also communicate with the consumer/client and provides them with receipts and reports of transactions done. Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data OnLine Transaction Processing Data Information Knowledge Business Intelligence
  10. 10. Database Management Systems Information Systems Online Analytical Processing Databases and Database Management Systems (DBMS, such as Microsoft Access) are the technology tools that directly support OLTP. Databases that support OLTP are most often referred to as operational databases. Inside these databases is valuable information that forms the basis for business intelligence. Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data OnLine Transaction Processing Data Information Knowledge Business Intelligence
  11. 11. Database Management Systems Information Systems Online Analytical Processing Information systems at this point are developed to use the information found in the databases, manipulate them and use the results for different objectives such as creating reports, planning and making decisions. This manipulation of the information into another aggregated form is knowledge. Management Information Systems is one example. Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data OnLine Transaction Processing Data Information Knowledge Business Intelligence
  12. 12. Database Management Systems Information Systems Online Analytical Processing Online Analytical Processing (OLAP) is the manipulation of the information to support decision making. “We’re finally comparing apples with apples, and now we’re spending only 10 percent of our time gathering data and 90% acting upon it, instead of the other way around.” Chapter 3, p. 79. Aggregate Information = Knowledge Manipulate Data = Information Structure and Organize Data Gather Data OnLine Transaction Processing Data Information Knowledge Business Intelligence
  13. 13. Business Intelligence <ul><li>Figure 3.1 </li></ul><ul><li>Building Business Intelligence </li></ul><ul><li>page 79 </li></ul>
  14. 14. IT for Business Intelligence (IT4BI MAP) The relational database model The Database Management Systems Data Warehouses and Data Mining Aggregate Information = Knowledge & BI Manipulate Data = Information Structure and Organize Data Gather Data
  15. 15. IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page When a business wants to organize and store basic and transaction oriented data (of course for later use to create business intelligence) they use databases. In reference to the relational database, then it is related data organized according to the logical structure the business information of interest. Click on for details Aggregate Information = Knowledge & BI Manipulate Data = Information Structure and Organize Data Gather Data
  16. 16. IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page Databases and DBMSs are the technology tools that directly support online analytical processing. With a DBMS you can create your database including its logical structure and constraints, manipulate the data and information contained and create a database application. Click on for details Aggregate Information = Knowledge & BI Manipulate Data = Information Structure and Organize Data Gather Data
  17. 17. IT4BI The relational database model The Database Management Systems Data Warehouses and Data Mining Go to IT4BI Main Page Online Analytical Processing (OLAP) is the manipulation of the information to support decision making. “We’re finally comparing apples with apples, and now we’re spending only 10 percent of our time gathering data and 90% acting upon it, instead of the other way around.” Chapter 3, p. 79. Click on for details Aggregate Information = Knowledge & BI Manipulate Data = Information Structure and Organize Data Gather Data
  18. 18. MANAGING THE INFORMATION RESOURCE <ul><li>The success of an organization strongly depends on the proper organization and management of the information as it relates to the organizations’ short and long term objectives. </li></ul>
  19. 19. MANAGING THE INFORMATION RESOURCE <ul><li>Information officers. </li></ul><ul><li>The influence of changes in technology on the organizations information. </li></ul><ul><li>Information ownership. </li></ul><ul><li>Ethical issues. </li></ul>Some of the issues that are important when it comes to the management of the information in the organization are:
  20. 20. <ul><li>Chief information officer ( CIO ) - responsible for overseeing an organization’s information resource. </li></ul><ul><li>Data administration - plans for, oversees the development of, and monitors the information resource. </li></ul><ul><li>Database administration - responsible for the more technical and operational aspects of managing the information contained in organizational databases. </li></ul>MANAGING THE INFORMATION RESOURCE Who Should Oversee the Organization’s Information?
  21. 21. MANAGING THE INFORMATION RESOURCE How Will Changes in Technology Affect Organizing and Managing Information? <ul><li>As new technologies become available, you should ask yourself whether those technologies will help you organize and manage your information better. </li></ul><ul><li>One of the greatest technological changes that will occur over the coming years is a convergence of different tools that will help you better organize and manage information. </li></ul>
  22. 22. MANAGING THE INFORMATION RESOURCE Is Information Ownership a Consideration? <ul><li>Information ownership is a key consideration in today’s information-based business environment. </li></ul><ul><li>Ownership refers to who is responsible for information quality. </li></ul>On Your Own CRUD – Defining Information Ownership (p. 102)
  23. 23. MANAGING THE INFORMATION RESOURCE What Are the Ethics Involved in Managing and Organizing Information? <ul><li>Databases, data warehouses, DBMSs, and data mining tools make it possible for people to easily access all kinds of organizational information. </li></ul><ul><li>How does an organization safeguard against the unethical use of information within the organization? </li></ul>
  24. 24. Closing Case Study One We’ve Got OLTP Covered; Let’s Go on to OLAP <ul><li>What is the single most important factor that hinders all organizations in general from providing good online analytical processing (OLAP) support? </li></ul><ul><li>Why is it so much easier for organizations to provide good online transaction processing (OLTP) support? </li></ul>
  25. 25. Closing Case Study Two Mining Dining Data <ul><li>Consider the issue of timely information with respect to the businesses discussed in the case. </li></ul><ul><li>Which of the businesses must have the most up-to-date information in its data warehouse? </li></ul>
  26. 26. Summary Student Learning Outcomes <ul><li>Describe business intelligence and its role in an organization. </li></ul><ul><li>Differentiate between databases and data warehouses with respect to their focus on online transaction processing and online analytical processing. </li></ul><ul><li>List and describe the key characteristics of a relational database. </li></ul><ul><li>Define the five software components of a database management system. </li></ul>
  27. 27. Summary Student Learning Outcomes <ul><li>List and describe the key characteristics of a data warehouse. </li></ul><ul><li>Define the four major types of data mining tools in a data warehouse environment. </li></ul><ul><li>List key considerations in managing the information resource in an organization. </li></ul>
  28. 28. Summary Assignments & Exercises <ul><li>Finding “hacked” databases </li></ul><ul><li>Defining queries for a video rental store </li></ul><ul><li>Creating a query </li></ul><ul><li>Career opportunities in your major </li></ul><ul><li>Salaries for database administrators </li></ul>
  29. 29. Real Hot Electronic Commerce Searching Online Databases and Information Repositories <ul><li>Financial aid resources </li></ul><ul><li>Libraries </li></ul><ul><li>Consumer information </li></ul><ul><li>Demographics </li></ul><ul><li>Real estate </li></ul>
  30. 30. Visit the Web to Learn More www.mhhe.com/haag <ul><li>Financial aid resources </li></ul><ul><li>Libraries </li></ul><ul><li>Consumer information </li></ul><ul><li>Demographics </li></ul><ul><li>Real estate </li></ul><ul><li>Data warehouses and data mining tools </li></ul>
  31. 31. Appendix Beyond this point the slides are not in any order. They are part of the interactivity.
  32. 32. <ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary to develop BI. </li></ul>By referring to the origin of Business Intelligent, I am thinking of the &quot;HOW&quot;. How is business intelligence obtained. Where does it come from. Business Intelligence (which we will refer to in here as BI for simplicity) is obtained by manipulating organization's knowledge towards a specific objective. This knowledge comes from information which comes from data. Therefore, remember the following &quot;business molecular sequence&quot;: BI <-- Knowledge <-- Information <-- Data [BIKID] Back to where I was. 3 IT for BI 2 Dev. 1 Origin BI
  33. 33. <ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary to develop BI. </li></ul>Back to where I was. The development of BI is more accurately stated as the development of an Information Infrastructure towards business intelligence. This includes the capturing of data, structuring and organizing it to obtain meaningful and useful information, and manipulating the information for knowledge gain, hence business intelligence. 3 IT for BI 2 Dev. 1 Origin BI
  34. 34. <ul><li>Understand BI and where it comes from. </li></ul><ul><li>How is BI developed. </li></ul><ul><li>The IT necessary to develop BI. </li></ul>Back to where I was. This information infrastructure does not occur on its own. You cannot buy an information infrastructure of the shelf. You need to acquire, use and maintain the IT to develop and build this information infrastructure. This includes database design, database management systems, data warehouses and data mining tools. 3 IT for BI 2 Dev. 1 Origin BI
  35. 35. Chapter 3 What is the chapter all about? Understanding Business Intelligence IT4BI - MAP Where BI comes from To develop BI IT to build BI Data Information Knowledge BI The Relational Data Model The DBMS Data Warehouses and Data Mining Managing Information Resources Who should oversee the org. information? How will changes in tech. affect org. and managing information? Is information ownership a consideration? What are the ethical issues
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