Free Essay

Business Intelligence

In:

Submitted By shrimp
Words 7362
Pages 30
IBM DB2 Universal Database

®



Business Intelligence Tutorial: Extended Lessons in Data Warehousing
V ersion 8

IBM DB2 Universal Database

®



Business Intelligence Tutorial: Extended Lessons in Data Warehousing
V ersion 8

Before using this information and the product it supports, be sure to read the general information under Notices.

This document contains proprietary information of IBM. It is provided under a license agreement and is protected by copyright law. The information contained in this publication does not include any product warranties, and any statements provided in this manual should not be interpreted as such. You can order IBM publications online or through your local IBM representative. v To order publications online, go to the IBM Publications Center at www.ibm.com/shop/publications/order v To find your local IBM representative, go to the IBM Directory of Worldwide Contacts at www.ibm.com/planetwide To order DB2 publications from DB2 Marketing and Sales in the United States or Canada, call 1-800-IBM-4YOU (426-4968). When you send information to IBM, you grant IBM a nonexclusive right to use or distribute the information in any way it believes appropriate without incurring any obligation to you. © Copyright International Business Machines Corporation 2000 - 2002. All rights reserved. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.

Contents
About the tutorial . . . . . Before you begin . . . . . . Conventions that are used in this Tutorial business problem . . . . . . . v . . . . . v tutorial . . v . . . . . vi Viewing published objects in the Catalog Center . . . . . . Updating published metadata . What you just did . . . . . Chapter 3. Maintaining the data Creating an index . . . . . Collecting table statistics . . . Reorganizing a table . . . . What you just did . . . . . Chapter 4. Summary. . . . Information . . . . . 20 . . . . . 20 . . . . . 21 warehouse . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 23 24 24 24

Chapter 1. Creating a star schema from within the Data Warehouse Center . . Defining tables for the star schema . . . Defining dimension tables. . . . . Creating a fact table . . . . . . . Creating the physical target tables . . Defining keys on target tables . . . Defining a star schema . . . . . . Opening the schema . . . . . . . Adding tables to the schema . . . . Autojoining the tables. . . . . . . What you just did . . . . . . . .

. . 1 . . 1 . . 1 . . 3 . . 5 . . 5 . . 11 . . 11 . . 11 . . 12 . . 12

. 25 . 27

Appendix. Related information .

Notices . . . . . . . . . . . . . 29 Trademarks . . . . . . . . . . . . 32 Contacting IBM . . . . . . . . . . 35 Product information . . . . . . . . . 35

Chapter 2. Cataloging the warehouse for end users . . . . . . . . . . . . 15 Creating the information catalog . . . . . 16 Selecting metadata to publish . . . . . . 17

© Copyright IBM Corp. 2000 - 2002

iii

iv

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

About the tutorial
This tutorial is a continuation of the Business Intelligence Tutorial: Introduction to the Data Warehouse Center and is written for Windows NT®, Windows® 2000, Windows XP, Windows 98, and Windows ME. In this tutorial, you will learn the following tasks: v Creating a star schema from within the DB2® Data Warehouse Center v Cataloging data in the warehouse for end users v Maintaining the data warehouse The tutorial is available in HTML or PDF format at: http://www.ibm.com/software/data/bi/downloads.html Duration: This tutorial takes approximately 1 hour to complete.

Before you begin
Before you begin, you must complete the Business Intelligence Tutorial: Introduction to the Data Warehouse Center in order to create the Data Warehouse Center objects that are necessary to complete the lessons in this tutorial. To complete the lesson on cataloging metadata in the data warehouse for end users, the Information Catalog Center must be installed on the warehouse workstation.

Conventions that are used in this tutorial
This tutorial uses typographical conventions in the text to help you distinguish between the names of controls and text that you type. For example: v Menu items are in boldface font: Click Menu —> Menu choice. v The names of fields, check boxes, and other controls are also in boldface font: Type text in the Field name field. v Text that you type is in monospaced font on a new line:
This is the text that you type.

© Copyright IBM Corp. 2000 - 2002

v

Tutorial business problem
You are a database administrator for a company that is called TBC: The Beverage Company. The company manufactures beverages for sale to other businesses. The financial department wants to track, analyze, and forecast the sales revenue across geographies on a periodic basis for all products sold. You have already set up standard queries of the sales data. However, these queries add to the load on your operational database. Also, users sometimes ask for additional ad hoc queries of the data, based on the results of the standard queries. In the Business Intelligence Tutorial: Introduction to the Data Warehouse Center, you created a data warehouse for the sales data. In this tutorial, you will learn to maintain the warehouse that you created and work with warehouse metadata. In this tutorial, you will create a star schema within the Data Warehouse Center. A star schema is a specialized design that consists of multiple dimension tables, and one fact table. Dimension tables describe aspects of a business. The fact table contains the facts about the business. In this tutorial, the star schema includes the following dimensions: v Products v Markets v Scenario v Time The facts in the fact table include orders of the products over a period of time.

vi

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Chapter 1. Creating a star schema from within the Data Warehouse Center

In this lesson, you will create a star schema. You can use this star schema for queries in the warehouse database. You can also export the star schema to OLAP Integration Server to create an OLAP database. This lesson shows you how to complete the following tasks: v Define tables for the star schema v Define a star schema This lesson takes approximately 30 minutes to complete.

Defining tables for the star schema
This exercise shows you how to build the rest of the dimension tables and the fact table in the star schema. When you define each table, you must define a new process for the table. Instead of defining a step for the process, you will copy the step that is defined in the sample. When you copy the step, the Data Warehouse Center copies the sources that the step uses and generates a target table.

Defining dimension tables
This exercise shows you how to create the rest of the dimension tables in the star schema, beginning with the Product dimension table. To define the Product dimension table: 1. Define a new process under the TBC Tutorial subject area named:
Build Tutorial Product Dimension

Remember to give the Tutorial Warehouse Group privileges on the Security page.

© Copyright IBM Corp. 2000 - 2002

1

2. Under the Subject Areas folder in the Data Warehouse Center window, expand the TBC Sample tree until you see the Build Sample Product Dimension process. 3. Right-click the Build Sample Product Dimension process. 4. Click Open. The Process Model window opens. 5. Right-click the Select Product step. 6. Click Copy. The Copy Step window opens. 7. In the Name field, type the name for the copy of the step:
Tutorial Select Product

8. In the New process list, specify the following process name:
Build Tutorial Product Dimension

The step will be copied to the Build Tutorial Product Dimension process. 9. Verify that the Copy target table check box is selected. 10. In the Warehouse target list, specify the Tutorial Targets warehouse target. The warehouse target is the same for all of the tables that you define in this lesson.

11. Click OK. The step and its sources are copied to the Build Tutorial Product Dimension process. The Data Warehouse Center creates the corresponding target table. 12. Close the Process Model window. 13. Open the Build Tutorial Product Dimension process. 14. Verify that the process includes the following objects: v The PRODUCT source table

2

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

v The Tutorial Select Product step v The ″SelectProd_T″ target table 15. Rename the ″SelectProd_T″ target table: a. In the Process Model window, right-click the ″SelectProd_T″ target table. b. Click Properties. The Properties notebook for the table opens. c. In the Table name field, type:
LOOKUP_PRODUCT

d. Verify that the Part of an OLAP schema check box and Dimension table radio button are selected. e. Click OK to save your changes and close the Properties notebook for the table. 16. Save the process and close the Process Model window. If you receive error 3171, click OK and continue. This is an informational message that has no effect on the changes you have made. 17. Repeat this procedure for the Time and Scenario dimension tables, substituting the values in the following table.
Time dimension table Tutorial process: Sample Process: Sample step to copy: New tutorial step name: Source tables: Target table: New target table name: Warehouse target: Build Tutorial Time Dimension Build Sample Time Dimension Select Time Tutorial Select Time TIME ″SelectTime_T″ LOOKUP_TIME Tutorial Targets Scenario dimension table Build Tutorial Scenario Dimension Build Sample Scenario Dimension Select Scenario Tutorial Select Scenario SCENARIO ″SelectScenario_T″ LOOKUP_SCENARIO Tutorial Targets

Creating a fact table
In the previous exercise, you defined the dimension tables in the star schema. In this exercise, you will define the fact table in the star schema. To define the fact table: 1. Under the TBC Tutorial subject area, define a new process named:
Build Tutorial Fact Table

Chapter 1. Creating a star schema from within the Data Warehouse Center

3

Remember to give the Tutorial Warehouse Group privileges on the Security page. 2. Under the Subject Areas folder in the Data Warehouse Center window, expand the TBC Sample tree until you see the Build Sample Fact Table process. 3. Right-click the Build Sample Fact Table process. 4. Click Open. The Process Model window opens. 5. Right-click the Fact Table Join step. 6. Click Copy. The Copy Step window opens. 7. In the Name field, type the name for the copy of the step:
Tutorial Fact Table Join

8. In the New process field, select the name of the process to which you want to copy the step:
Build Tutorial Fact Table

9. Verify that the Copy Target Table check box is selected. 10. In the Warehouse target list, specify the Tutorial Targets warehouse target. 11. Click OK. The step and its sources are copied to the Build Tutorial Fact Table process. The Data Warehouse Center generates the corresponding target table. 12. Close the Process Model window. 13. Open the Build Tutorial Fact Table process. If it is already open, close it, then open it again. 14. Verify that the process includes the following objects: v The PRODUCTION_COSTS, SALES, and INVENTORY source tables v The Tutorial Fact Table Join step v The ″FactTable_T″ target table 15. Rename the ″FactTable_T″ target table: a. In the Process Model window, right-click the ″FactTable_T″ target table. b. Click Properties. The Properties notebook for the table opens. c. In the Table name field, type:
FACT_TABLE

d. Verify that the Part of an OLAP schema check box and the Fact table radio button are selected.

4

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

e. Click OK to save your changes and close the Properties notebook for the table. 16. Save the process, and close the Process Model window.

Creating the physical target tables
The physical target tables are created when you promote steps to test or production mode. To promote the steps that you copied to test mode: 1. Open the Build Tutorial Fact Table process. 2. Right-click the Tutorial Fact Table Join step, and click Mode —> Test. A progress window opens. If an error occurs when the step is processing, you will receive an error message. 3. Repeat this procedure for the following steps:
Process Build Tutorial Product Dimension Build Tutorial Scenario Dimension Build Tutorial Time Dimension Build Tutorial Market Dimension Step Tutorial Select Product Tutorial Select Scenario Tutorial Select Time Load Demographics Data, Select Geographies Data, Join Market Data. If these steps are in production mode, demote them to test.

Defining keys on target tables
In each target table, you will select a column that can be used to uniquely identify rows in that table. This is the primary key for the table. The column that you select as a primary key must have the following qualities: v It must always have a value. The column for a primary key cannot contain null values. v It must have unique values. Each value in the column must be different for each row in the table. v Its values must be stable. A value must never change to another value. For example, the CITY_ID column in the LOOKUP_MARKET table is a good candidate for designation as a primary key. Because each city needs an identifier, no two cities can have the same identifier, and identifiers are unlikely to change. Defining a primary key for a table is highly recommended because uniquely identifying each row speeds up row access.

Chapter 1. Creating a star schema from within the Data Warehouse Center

5

You use foreign keys to define relationships between tables. In a star schema, a foreign key defines the relationship between the fact table and its associated dimension tables. The primary key of the dimension table has a corresponding foreign key in the fact table. The foreign key requires that all the values of a given column in the fact table also exist in the dimension table. For example, the CITY_ID column of the fact table might have a foreign key defined on the CITY_ID column of the LOOKUP_MARKET dimension table. This means that a row cannot exist in the fact table unless the CITY_ID exists in the LOOKUP_MARKET table. In this exercise, you will define primary keys on the following tables: LOOKUP_MARKET, LOOKUP_TIME, LOOKUP_PRODUCT, and LOOKUP_SCENARIO. You will define corresponding foreign keys in the FACT_TABLE. Defining a primary key This exercise shows you how to define a primary key for the LOOKUP_MARKET, LOOKUP_TIME, LOOKUP_PRODUCT, and LOOKUP_SCENARIO target tables. To define the primary keys: 1. Click Start —> Programs —> IBM DB2 —> General Administration Tools —> Control Center. The Control Center window opens. 2. Click View —> Refresh. 3. Expand the tree until you see the TUTWHS database. 4. Expand the TUTWHS tree, and click on the Tables folder. 5. Right-click the LOOKUP_MARKET table, and click Alter. The Alter Table notebook opens. 6. Click the Keys tab. 7. Click Add Primary. The Define Primary Key window opens. 8. In the Available columns list, click CITY_ID. 9. Click > to move CITY_ID to the Selected columns list. CITY_ID will be the primary key for the TUTWHS database. 10. Leave the Constraint name field empty, so that DB2 Universal Database™ will generate a constraint name for you. A primary key can be considered

6

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

a constraint, because all values in the selected column must be unique.

11. Click OK to save your definition. 12. Click Close to close the Progress window. If the change was successful, the DB2 Message window contains the following message:
The command completed successfully.

13. Click Close to close the DB2 Message window. Follow the same steps to define primary keys for the other target tables. Define:
Table LOOKUP_TIME LOOKUP_PRODUCT LOOKUP_SCENARIO Primary key TIME_ID PRODUCT_KEY SCENARIO_ID

Defining a foreign key You need to define foreign keys for the relationships between the FACT_TABLE and the other target tables. In this exercise, you will define a foreign key in the FACT_TABLE (dependent table) based on the primary key of the LOOKUP_MARKET table (parent table). To define the foreign keys: 1. Find the fact table in the list of tables for the TUTWHS database. Right-click the table and click Alter. The Alter Table notebook opens.
Chapter 1. Creating a star schema from within the Data Warehouse Center

7

2. Click the Keys tab. 3. Click Add Foreign. The Add Foreign Key window opens. 4. In the Table schema list, select IWH. 5. In the Table name field, specify LOOKUP_MARKET, which is the parent table. The Primary key field displays the primary key for the LOOKUP_MARKET table. The steps that generate the parent table must be in test or production mode in order for the primary key to be available. A primary key must be defined for the parent table before a foreign key can be defined for the FACT_TABLE. 6. In the Available columns list, select CITY_ID as the column that you want defined as the foreign key. 7. Click > to move CITY_ID to the Foreign key list.

8. Click OK to save your definitions.

8

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Define foreign keys for the FACT_TABLE to the other target tables by repeating steps 3 through 8. Define:
Table LOOKUP_TIME LOOKUP_PRODUCT LOOKUP_SCENARIO Foreign key TIME_ID PRODUCT_KEY SCENARIO_ID

9. Click OK to save the information in the Alter Table window. 10. Click Close to close the Progress window. If the change was successful, the DB2 Message window contains the following message:
The command completed successfully.

11. Click Close to close the DB2 Message window. Defining foreign keys in the Data Warehouse Center In this section, you will define foreign keys in the Data Warehouse Center. To define foreign keys in your warehouse:

Chapter 1. Creating a star schema from within the Data Warehouse Center

9

1. In the Data Warehouse Center window, expand the Warehouse Targets tree. 2. Expand the Tutorial Targets tree. 3. Click the Tables folder. 4. Right-click the fact table. 5. Click Properties. 6. 7. The table Properties notebook opens. Click the Warehouse Foreign Keys tab. Remove each foreign key in the view by right-clicking the constraint name, and clicking Remove. These foreign key definitions were carried over when the Fact Table Join step was copied. The definitions refer to tables in the TBC Sample Targets database and must be deleted and replaced with new foreign keys that refer to tables in the Tutorial Targets database. Right-click on the white space and click Define. The Define Warehouse Foreign Key window opens. Select IWH in the Object schema list.

8. 9.

10. Select LOOKUP_MARKET in the Object name list. The primary key for LOOKUP_MARKET appears in the Warehouse primary key field. 11. Select CITY_ID in the Available columns field. 12. Click > to move CITY_ID into the Warehouse foreign key columns field. 13. In the Constraint name field, type:
Whse Market FK

The constraint name must be different for each foreign key. 14. Click OK to save your definition and close the Define Warehouse Foreign Key window. 15. Repeat steps 8 through 14 to add foreign keys for the remaining three LOOKUP tables. The constraint names for the remaining three LOOKUP tables are shown in the following table.
Table LOOKUP_TIME LOOKUP_PRODUCT LOOKUP_SCENARIO Column TIME_ID PRODUCT_KEY SCENARIO_ID Constraint name Whse Time FK Whse Product FK Whse Scenario FK

16. Click OK to save your changes and close the table Properties window.

10

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Defining a star schema
In this exercise, you will define a star schema that is to contain the dimension and fact tables that you defined in this tutorial. To define a star schema: 1. From the Data Warehouse Center, right-click the Warehouse Schemas folder. 2. Click Define. The Define Warehouse Schema notebook opens. 3. In the Name field, type the schema name:
Tutorial Schema

4. In the Administrator field, type your name as the contact for the schema. 5. In the Description field, type the description of the schema:
This is the TBC star schema

6. Select the Use only one database check box. 7. From the Warehouse target database list, select TUTWHS. 8. Click OK to save your changes, and close the notebook. The star schema is added to the tree under the Warehouse Schemas folder.

Opening the schema
This exercise shows you how to open the schema in the Data Warehouse Center. To open the Tutorial Schema: 1. Expand the Warehouse Schemas tree. 2. Right-click on Tutorial Schema. 3. Click Open.

Adding tables to the schema
In this exercise, you will add the following dimension tables and fact tables to the star schema: To add the dimension and fact tables to the star schema: 1. Click the Add Data icon. 2. Click the canvas at the spot where you want to place the tables. The Add Data window opens. 3. Expand the Warehouse Targets tree until you see a list of tables under the Tables folder.
Chapter 1. Creating a star schema from within the Data Warehouse Center

11

4. Select the following tables: v LOOKUP_MARKET v LOOKUP_PRODUCT v LOOKUP_SCENARIO v LOOKUP_TIME v FACT_TABLE 5. Click > to add the tables to the Selected source and target tables list. 6. Click OK. The tables that you selected are displayed on the window. 7. Arrange the tables in the window to place the FACT_TABLE is in the center and one dimension table in each corner. Tip: Click View —> Hide Columns to hide the table columns. This changes the icons to table icons. Leave the Warehouse Schema Model window open for the next exercise.

Autojoining the tables
In this exercise, you will use the primary and foreign keys that you defined in “Defining keys on target tables” on page 5 to automatically join the dimension tables and the fact tables. To autojoin the tables: 1. Click the Save icon in the toolbar to save your work. 2. Select the LOOKUP_MARKET, LOOKUP_PRODUCT, LOOKUP_SCENARIO, LOOKUP_TIME, and FACT_TABLE tables. 3. Click the Autojoin icon in the toolbar. The Data Warehouse Center draws green lines between the primary keys in the dimension tables and the foreign keys in the FACT_TABLE. 4. Click the Save icon on the toolbar to save your work. The green autojoin lines become black. 5. Close the Warehouse Schema Model window.

What you just did
In this lesson, you completed the following tasks: v You defined tables for the star schema. v You defined primary keys for the following target tables: – LOOKUP_MARKET

12

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

– LOOKUP_TIME – LOOKUP_PRODUCT – LOOKUP_SCENARIO v You defined foreign keys for the FACT_TABLE that correspond to the primary keys. v You created a star schema that consists of the LOOKUP_MARKET, LOOKUP_PRODUCT, LOOKUP_SCENARIO, LOOKUP_TIME, and FACT_TABLE tables.

Chapter 1. Creating a star schema from within the Data Warehouse Center

13

14

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Chapter 2. Cataloging the warehouse for end users

For this lesson, you must have the Manage Information Catalog Wizard and the Information Catalog Center installed. This lesson shows you how to catalog the data in your data warehouse for use by end users. You catalog the data by publishing Data Warehouse Center metadata in an information catalog. An information catalog is the set of tables managed by the Information Catalog Center that contains business metadata that helps users identify and locate data and information available to them in the organization. Users can search the information catalog to find the tables that contain the data that they need to query. Publishing metadata is the process of transferring metadata from the Data Warehouse Center to the Information Catalog Center. In this lesson, you will publish the metadata for the Build Tutorial Market Dimension process that you created in the Business Intelligence Tutorial: Introduction to the Data Warehouse Center. When you publish the process, you will publish the metadata for the following objects that are contained in the process: v The Load Demographics Data step, its source file DEMOGRAPHICS, and its target table DEMOGRAPHICS_TARGET. v The Select Geographies Data step, its source table GEOGRAPHIES, and its target table GEOGRAPHIES_TARGET. v The Join Market Data step and its target table LOOKUP_MARKET. (Its source tables will be published with the other two steps.) This lesson takes approximately 15 minutes to complete. For more information about working with business metadata in the Information Catalog Center, see the IBM® DB2 Warehouse Manager Information Catalog Center Tutorial or the IBM DB2 Warehouse Manager Information Catalog Center Administration Guide.

© Copyright IBM Corp. 2000 - 2002

15

Creating the information catalog
First, you must create the information catalog to hold the metadata that you publish. You can use a separate database for your information catalog, but for this tutorial, you will use the warehouse control database TBC_MD. To create the information catalog: 1. Click Start —> Programs —> IBM DB2 —> Set-up tools —> Manage Information Catalog Wizard. The Manage Information Catalog wizard opens. 2. Select Prepare an information catalog. 3. Click Next. 4. Select the In another DB2 database radio button. 5. In the Database name field, type the following name:
TBC_MD

6. In the Database schema field, type the name of the default schema for the Information Catalog Center:
ICM

7. In the Database user ID field, type the user ID for the database. In this case, it is the same user ID that you used to log on to the Data Warehouse Center. 8. In the Database password field, type the password that corresponds to the user ID. 9. In the Default user group field, type the following name:
ICCUSER

This is not a Data Warehouse Center group. It is a user group that must be defined on your operating system with the privileges that you want to assign to the default user group. For this tutorial, you do not have to create the ICC Default Group on your operating system to complete the lesson, but please note that if you do not create the user group on your operating system with the desired privileges, the user group will not be able to control access to objects in the information catalog. 10. In the Default power user group field, type the following name:
ICCPUSER

This is not a Data Warehouse Center user group. It is a user group that must be defined on your operating system with the privileges that you want to assign to the power user group. For this tutorial, you do not have to create the ICC Default Group on your operating system to complete the lesson, but please note that if you do not create the user

16

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

group on your operating system with the desired privileges, the user group will not be able to control access to objects in the information catalog. 11. Select the Create default object types check box. 12. In the Table space field, type:
USERSPACE1

13. Click Next. 14. Review the information that you entered on the summary page, and click Finish. The Manage Information Catalog Wizard prepares your information catalog.

Selecting metadata to publish
After you create the metadata, you need to select the metadata that you want to publish. To select the metadata that you want to publish: 1. From the Data Warehouse Center window, right-click Warehouse, and click Publish Metadata —> Data Warehouse to Information Catalog. The Publish Metadata - Data Warehouse to Information Catalog window opens. 2. Click Define. 3. In the Name field, type the following business name for the publication:
Published Tutorial Metadata

4. In the Administrator field, type your name as the contact for the publication. 5. Type a description of the publication in the Description field. For this tutorial, type the following sentence:
Published metadata for the Business Intelligence Tutorial.

6. Click the Objects tab, and specify the objects that you want to use: a. In the Available objects list, expand the Subject Areas folder and click TBC Tutorial. b. Click >. The TBC Tutorial subject area moves to the Selected objects list.

Chapter 2. Cataloging the warehouse for end users

17

The Define Warehouse Publication notebook opens.

7. Click the Information Catalog tab, and specify the following information: a. In the Catalog name field, type:
TBC_MD

The TBC_MD database contains sample metadata. b. In the Schema name field, type:
ICM

c. In the Administrator user ID field, type the user ID for the information catalog. In this case, it is the same user ID that you used to log on to the Data Warehouse Center. d. In the Administrator password field, type the password that corresponds to the user ID. e. In the Verify password field, type the password again.

18

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

8. Click the Options tab. 9. From the Source to target mapping group, verify that the Table level radio button is selected. This option specifies that source tables and target tables are mapped at the table level. The information catalog uses a transformation object to indicate that a mapping exists between the two tables. 10. Click OK. If errors occur during the publication process, see the IBM DB2 Universal Database Message Reference. If the publication step was created successfully, it is added to the list of publication steps in the Publish Metadata window. To publish the metadata, you must run the publication step. 11. Right-click the publication step in the Publish Metadata window, and click Run. This runs the step and copies the metadata into the information catalog. When the step completes successfully, there is a number in the status field that corresponds to the edition number for the last time the step ran. You can use this number to look up the statistics for the step in the Work in Progress window. Leave the Publish Metadata - Data Warehouse to Information Catalog window open for the next exercise.

Chapter 2. Cataloging the warehouse for end users

19

Viewing published objects in the Information Catalog Center
After you publish your metadata, you can view the objects in the Information Catalog Center. To view published objects in the Information Catalog Center: 1. Click Start —> Programs —> IBM DB2 —> Business Intelligence Tools —> Information Catalog Center. The Information Catalog Logon window opens. 2. In the User ID field, verify that the user ID for your information catalog is specified. 3. In the Password field, type the password that corresponds to the user ID. 4. In the Database field, verify that TBC_MD is specified. 5. In the Information catalog field, verify that ICC is specified. 6. Click OK. The Information Catalog Logon window closes, and you can see your published metadata in the Information Catalog Center window.

Updating published metadata
After you publish metadata, you need to update it periodically to capture the changes that are made in the Data Warehouse Center. To transfer updates of the Data Warehouse Center metadata to the information catalog, you run the step for the publication in the same way that you run any other steps in the Data Warehouse Center. To update published metadata: 1. In the Warehouse publications list in the Publish Metadata - Data Warehouse to Information Catalog window, right-click Published Tutorial Metadata. 2. Click Run. 3. Go to the main Data Warehouse Center window and click Warehouse —> Work in Progress. The Work in Progress window opens. You should see an entry for the step that is running. While the step is running, the status is Populating. When the step has completed the status is Successful. 4. Close the Work In Progress window. 5. Close the Publish Metadata window.

20

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

What you just did
In this lesson, you published to an information catalog the Data Warehouse Center metadata that you created in the tutorial. You ran the publication to update the metadata that you published.

Chapter 2. Cataloging the warehouse for end users

21

22

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Chapter 3. Maintaining the data warehouse

In this lesson, you will learn to define indexes, and use the RUNSTATS and REORG utilities. The amount of maintenance that is required for a database is directly related to the amount of database activity or workload. Because this tutorial does not generate significant database activity, this lesson is primarily a guide to the DB2 tools and utilities that you can use when you are maintaining an actual warehouse database. This lesson takes approximately 15 minutes to complete.

Creating an index
You can create an index to optimize queries for end users of the warehouse. An index is a set of keys, each pointing to a set of rows in a table. The index is a separate object from the table data. The database manager builds the index structure and maintains it automatically. An index gives more efficient access to rows in a table by creating a direct path to the data through the pointers that it creates. An index is created when you define a primary key or a foreign key. For example, an index was created on the LOOKUP_MARKET table when you defined CITY_ID as its primary key. To create additional indexes: 1. From the DB2 Control Center, expand the objects within the TUTWHS database until you see the Indexes folder. 2. Right-click the Indexes folder and click Create. The Create Index window opens. 3. Click Help and follow the instructions given in the Control Center help to create your index.

© Copyright IBM Corp. 2000 - 2002

23

Collecting table statistics
Table statistics provide information about the physical and logical characteristics of a table and its indexes. You must periodically collect these statistics, so that DB2 Universal Database can determine the best way to access your data. If extensive changes are made to the data in a table, and the last collection of statistics no longer reflects the actual table data, then data access performance can deteriorate. In general, you should update statistics if there are major changes to the data in your table. To collect statistics about the LOOKUP_MARKET table: 1. From the DB2 Control Center, right-click the LOOKUP_MARKET table, and click Run Statistics. The Run Statistics notebook opens. 2. Click Help, and use the online help to determine the level of statistics that you want to gather for the table and its indexes. 3. Click OK to begin collecting the table statistics.

Reorganizing a table
Reorganizing a table rearranges the table in physical storage, eliminating fragmentation and making sure that the table is stored efficiently in the database. You can also use reorganization to control the order in which the rows of a table are stored, usually according to an index. To reorganize the LOOKUP_MARKET table: 1. From the DB2 Control Center, right-click the LOOKUP_MARKET table and click Reorganize. The Reorganize Table notebook opens. 2. Click Help, and use the online help to specify the values for the notebook. 3. Click OK to reorganize the table immediately.

What you just did
In this lesson, you completed the following tasks: v Created an index v Collected statistics on a table v Reorganized a table

24

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Chapter 4. Summary
Congratulations! You have completed the Business Intelligence Tutorial: Extended Lessons in Data Warehousing. In this tutorial, you completed the following tasks: v You defined a star schema in the Data Warehouse Center. v You published metadata to an information catalog. v You performed maintenance on the warehouse database to improve performance.

© Copyright IBM Corp. 2000 - 2002

25

26

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Appendix. Related information
This tutorial covers the most common tasks that you can accomplish with the DB2 Control Center, Data Warehouse Center, and the Information Catalog Center. For more information about related tasks, see the following resources: Control Center v IBM DB2 Universal Database Quick Beginnings for DB2 Clients v IBM DB2 Universal Database Quick Beginnings for DB2 Servers v IBM DB2 Universal Database Administration Guide: Implementation Data Warehouse Center v IBM DB2 Universal Database Data Warehouse Center Administration Guide v IBM DB2 Warehouse Manager Installation Guide Information Catalog Center v IBM DB2 Warehouse Manager Information Catalog Center Administration Guide v IBM DB2 Warehouse Manager Information Catalog Center Tutorial

© Copyright IBM Corp. 2000 - 2002

27

28

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Notices
IBM may not offer the products, services, or features discussed in this document in all countries. Consult your local IBM representative for information on the products and services currently available in your area. Any reference to an IBM product, program, or service is not intended to state or imply that only that IBM product, program, or service may be used. Any functionally equivalent product, program, or service that does not infringe any IBM intellectual property right may be used instead. However, it is the user’s responsibility to evaluate and verify the operation of any non-IBM product, program, or service. IBM may have patents or pending patent applications covering subject matter described in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to: IBM Director of Licensing IBM Corporation North Castle Drive Armonk, NY 10504-1785 U.S.A. For license inquiries regarding double-byte (DBCS) information, contact the IBM Intellectual Property Department in your country/region or send inquiries, in writing, to: IBM World Trade Asia Corporation Licensing 2-31 Roppongi 3-chome, Minato-ku Tokyo 106, Japan The following paragraph does not apply to the United Kingdom or any other country/region where such provisions are inconsistent with local law: INTERNATIONAL BUSINESS MACHINES CORPORATION PROVIDES THIS PUBLICATION “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. Some states do not allow disclaimer of express or implied warranties in certain transactions; therefore, this statement may not apply to you. This information could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. IBM may make
© Copyright IBM Corp. 2000 - 2002

29

improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time without notice. Any references in this information to non-IBM Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this IBM product, and use of those Web sites is at your own risk. IBM may use or distribute any of the information you supply in any way it believes appropriate without incurring any obligation to you. Licensees of this program who wish to have information about it for the purpose of enabling: (i) the exchange of information between independently created programs and other programs (including this one) and (ii) the mutual use of the information that has been exchanged, should contact: IBM Canada Limited Office of the Lab Director 8200 Warden Avenue Markham, Ontario L6G 1C7 CANADA Such information may be available, subject to appropriate terms and conditions, including in some cases payment of a fee. The licensed program described in this document and all licensed material available for it are provided by IBM under terms of the IBM Customer Agreement, IBM International Program License Agreement, or any equivalent agreement between us. Any performance data contained herein was determined in a controlled environment. Therefore, the results obtained in other operating environments may vary significantly. Some measurements may have been made on development-level systems, and there is no guarantee that these measurements will be the same on generally available systems. Furthermore, some measurements may have been estimated through extrapolation. Actual results may vary. Users of this document should verify the applicable data for their specific environment. Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements, or other publicly available sources. IBM has not tested those products and cannot confirm the accuracy of performance, compatibility, or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products.

30

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

All statements regarding IBM’s future direction or intent are subject to change or withdrawal without notice, and represent goals and objectives only. This information may contain examples of data and reports used in daily business operations. To illustrate them as completely as possible, the examples include the names of individuals, companies, brands, and products. All of these names are fictitious, and any similarity to the names and addresses used by an actual business enterprise is entirely coincidental. COPYRIGHT LICENSE: This information may contain sample application programs, in source language, which illustrate programming techniques on various operating platforms. You may copy, modify, and distribute these sample programs in any form without payment to IBM for the purposes of developing, using, marketing, or distributing application programs conforming to the application programming interface for the operating platform for which the sample programs are written. These examples have not been thoroughly tested under all conditions. IBM, therefore, cannot guarantee or imply reliability, serviceability, or function of these programs. Each copy or any portion of these sample programs or any derivative work must include a copyright notice as follows: © (your company name) (year). Portions of this code are derived from IBM Corp. Sample Programs. © Copyright IBM Corp. _enter the year or years_. All rights reserved.

Notices

31

Trademarks
The following terms are trademarks of International Business Machines Corporation in the United States, other countries, or both, and have been used in at least one of the documents in the DB2 UDB documentation library.
ACF/VTAM AISPO AIX AIXwindows AnyNet APPN AS/400 BookManager C Set++ C/370 CICS Database 2 DataHub DataJoiner DataPropagator DataRefresher DB2 DB2 Connect DB2 Extenders DB2 OLAP Server DB2 Universal Database Distributed Relational Database Architecture DRDA eServer Extended Services FFST First Failure Support Technology IBM IMS IMS/ESA iSeries LAN Distance MVS MVS/ESA MVS/XA Net.Data NetView OS/390 OS/400 PowerPC pSeries QBIC QMF RACF RISC System/6000 RS/6000 S/370 SP SQL/400 SQL/DS System/370 System/390 SystemView Tivoli VisualAge VM/ESA VSE/ESA VTAM WebExplorer WebSphere WIN-OS/2 z/OS zSeries

The following terms are trademarks or registered trademarks of other companies and have been used in at least one of the documents in the DB2 UDB documentation library: Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. Intel and Pentium are trademarks of Intel Corporation in the United States, other countries, or both.

32

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. UNIX is a registered trademark of The Open Group in the United States and other countries. Other company, product, or service names may be trademarks or service marks of others.

Notices

33

34

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Contacting IBM
In the United States, call one of the following numbers to contact IBM: v 1-800-237-5511 for customer service v 1-888-426-4343 to learn about available service options v 1-800-IBM-4YOU (426-4968) for DB2 marketing and sales In Canada, call one of the following numbers to contact IBM: v 1-800-IBM-SERV (1-800-426-7378) for customer service v 1-800-465-9600 to learn about available service options v 1-800-IBM-4YOU (1-800-426-4968) for DB2 marketing and sales To locate an IBM office in your country or region, check IBM’s Directory of Worldwide Contacts on the web at www.ibm.com/planetwide

Product information
Information regarding DB2 Universal Database products is available by telephone or by the World Wide Web at www.ibm.com/software/data/db2/udb This site contains the latest information on the technical library, ordering books, client downloads, newsgroups, FixPaks, news, and links to web resources. If you live in the U.S.A., then you can call one of the following numbers: v 1-800-IBM-CALL (1-800-426-2255) to order products or to obtain general information. v 1-800-879-2755 to order publications. For information on how to contact IBM outside of the United States, go to the IBM Worldwide page at www.ibm.com/planetwide

© Copyright IBM Corp. 2000 - 2002

35

36

Business Intelligence Tutorial: Extended Lessons in Data Warehousing

Printed in U.S.A.

Similar Documents

Premium Essay

Business Intelligence

...Abstract Business intelligence (BI) is a grouping of different resources that affect the way data is utilized within businesses. The technologies available with business intelligence focus on utilizing the data within a company the best possible way. The successfulness of business intelligence relies on the constant evolving of the solutions as well as the scalability of the program. Business intelligence solutions are available in self- service options as well mobile choices and use on the cloud. Business intelligence has and is making a big impact on companies all over the world in many different ways. Business Intelligence is a set or collection of concepts, procedures, styles, and technologies that change basic data into beneficial and valuable information for business related purposes. One main purpose of business intelligence is to take on large amounts of indistinct data in order to piece together and create new opportunities for a variety of business types. (Cooper & Schindler, 2014)The incorporation of business intelligence helps businesses process large amounts of data easily in order for the business to take on new prospects and put into place new and effective strategies for the business to gain market advantage and achieve long-term stability. (Jullens, 2013) The technologies utilized by business intelligence incorporate past, present and future possibilities for business procedures. Business intelligence utilizes presentations and technologies...

Words: 4093 - Pages: 17

Premium Essay

Business Intelligence

...Business Intelligence-The Next Ruler of IT Monalisa Mishra “In GOD we trust for everything else we need data” -W. Edwards Deming In the present era the old saying has become the buzz of corporate circle and going forward this will be the base principle of decision makers across the world. Welcome to the era of objective thinking powered by technology that has given a new dimension to business and management. With the passage of time more and more companies are coming forward to adopt, improvise and leverage on technology and Business Intelligence has proved to be the flag bearer in this upcoming trend. Business Intelligence, in layman terms, is data converted to information and available in ready to use format that can be further analyzed, modified and transformed as per the changing demand. The industries today are mostly into some or other form of nascent technology that speaks of raw form of information. Basically, these systems are into huge data repository that provides real time information or basics analytic tools that can provide historical analysis. But the future has a lot more to offer. Imagine an automotive plant with fluctuating marketing demand , supply chain constraint and increasing production costs. In such a scenario, we can only expect something beyond human intelligence to give smart solution that approximately optimizes every aspect. Now let us think of a system that is integrated with the production system and marketing technical system. This system...

Words: 1375 - Pages: 6

Premium Essay

Business Intelligence

...RESEARCH REPORT by B. Lekay 2973630 We swear that this assignment is our original work. All information obtained directly or indirectly from other sources has been fully acknowledged. All members of the group contributed equally and fairly to the completion of this project. Signed: BJ Le Kay Date: April 2013 |Table of Contents |Page | |1. Introduction | |1.1 Problem definition and background to the problem |2 | |1.2 Scope and limitations of the report |2 | |1.3 The research question |3 | |1.4 A description of the rest of the report |3 | |1.5 Methodology |3 | |2. Findings derived from the Data Analysis | |2.1 Results pertaining to...

Words: 3192 - Pages: 13

Premium Essay

Business Intelligence

...can give anyone in your company the ability to make better decisions by quickly understanding the various “information assets” in your organization and how these interact with each other. These assets can include customer databases, supply chain information, personnel data, manufacturing, product data, sales and marketing activity, as well as any other source of information critical to your operation. A robust BI application, which includes integration and data cleansing functions, can allow you to integrate these disparate data sources into a single coherent framework for real-time reporting and detailed analysis by anyone in your extended enterprise – customers, partners, employees, managers, and executives. Check out these live Business Intelligence demos for examples of reports, charts, scorecards and dashboards that satisfy diverse end user requirements on both mobile devices and desktop computers. WebFOCUS – Information Builders’ comprehensive suite of BI software and the industry’s most secure and flexible solution – provides comprehensive BI functionality for many different classes of users, from the corporate executive to the assembly line worker; from the financial analyst sitting at his desk to the sales rep who’s always on the road. WebFOCUS allows organizations to leverage any data source, transform it into useful information, and deliver it in an actionable format to any end user, both within and outside the enterprise. WebFOCUS reduces the cost and time for development...

Words: 346 - Pages: 2

Premium Essay

Business Intelligence

...Running Head: BUSINESS INTELLIGENCE A REVIEW OF LITERATURE Business Intelligence: A Review of Literature Richard Clark Liberty University Abstract An explorative and descriptive review of literature on Business Intelligence (BI). It presents various definitions of the term “Business Intelligence” and determines that regardless the definition is a “means” to “end”, which sound business or organizational decision making, specifically in strategic planning and management. It also presents several important differentiation of Business Intelligence from data-centric technologies, and enterprise applications. It describes business intelligence architecture and its components. It identifies capabilities and benefits to be derive from it, barriers to its successful implementation, and critical success factors. It identifies BI software vendors, trends and forecast, and ethical considerations. It concludes with a conceptual framework that shows business intelligence as a process that produces intelligence necessary for strategic planning and management, that in turn results to a strategy that creates competitive advantages. This paper is an explorative and descriptive review of literature on Business Intelligence (BI). An exploratory research as the name suggests explores a problem or a situation with the purpose of defining an ambiguous problem. It is undertaken from the perspective of a student in management and of an IT “dummy”. Consequently, the review strategy is...

Words: 7412 - Pages: 30

Premium Essay

Business Intelligence

...Importance of business intelligence decision making in corporate America Name Institution Business intelligence can be used to refer to computer software and tools that can be used to collect all forms of business data and use the collected data to generate reports (Chaudhuri et al 2011). In several cases the collected data can be focused on a specific department or the data can give an overall view of the company`s status. There are companies that have huge loads of data, this type of companies are the biggest gainers of business intelligence (Chaudhuri et al 2011). The number of companies using it is still small but with the use of business intelligence companies are able to identify the profitable customers, identify the trouble spots in the organization. The company may also be able to know the returns on investment for certain products (Chaudhuri et al 2011). Although business intelligence is a complex, costly and time consuming when establishing, once implemented and placed under correct use it has significant benefits (Chaudhuri et al 2011). Business intelligence is important in decision making in corporate America because it can be used to make fact based decisions (Elbashir et al 2008). Managers of companies using business intelligence are always able to see detailed data on all the aspects of business. They are in a position to see production data, financial data and customer data (Elbashir et al 2008). The managers read reports synthesizing this information in...

Words: 772 - Pages: 4

Premium Essay

Business Intelligence

...Business Intelligence as an indispensable tool for decision making in big companies * What is Business intelligence exactly? (Bapt ou Greg) Business intelligence, or BI for short, is a term that refers to competencies, processes, technologies, applications and practices used to support evidence-based decision making in organisations. In the widest sense it can be defined as a collection of approaches for gathering, storing, analysing and providing access to data that helps users to gain insights and make better fact-based business decisions. The basic components of Business Intelligence are gathering, storing, analysing and providing access to data (see Figure). Gathering Data Gathering data is concerned with collecting or accessing data which can then be used to inform decision making. Gathering data can come in many formats and basically refers to the automated measurement and collection of performance data. For example, these can come from transactional systems that keep logs of past transactions, point-of-sale systems, web site software, production systems that measure and track quality, etc. A major challenge of gathering data is making sure that the relevant data is collected in the right way at the right time. If the data quality is not controlled at the data gathering stage then it can jeopardise the entire BI efforts that might follow - always remember the old adage - garbage in garbage out. Storing Data Storing Data is concerned with making sure the data...

Words: 1339 - Pages: 6

Premium Essay

Business Intelligence

...BI Norwegian School of Management – Thesis Master of Science in Innovation and Entrepreneurship GRA 19002 Convergence, Complementarity or Disruption: Enterprise Search and Business Intelligence By Vedrana Jez Hand-in date: 01.09.2009 Supervisor: Dr. Espen Andersen This thesis is a part of the MSc programme at BI Norwegian School of Management. The school takes no responsibility for the methods used, results found and conclusions drawn. Acknowledgments I would like to thank my supervisor, Dr. Espen Andersen, for his support and guidance throughout the project. I am also grateful to all participants in this research for their contribution and time. Finally, I thank my family for their understanding, encouragement and patience. Thesis 01.09.2009 Content Content ..................................................................................................................... i Abstract .................................................................................................................. iv Introduction ............................................................................................................ 1 Research Methodology ........................................................................................... 2 Research Question .........................................................................................................2 Method Used ..................................................................

Words: 19593 - Pages: 79

Premium Essay

Business Intelligence

...SPECIAL ISSUE: BUSINESS INTELLIGENCE RESEARCH BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords:...

Words: 16335 - Pages: 66

Premium Essay

Business Intelligence

...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured...

Words: 8282 - Pages: 34

Premium Essay

Business Intelligence

...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 Business Intelligence by S. Negash BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper...

Words: 8285 - Pages: 34

Premium Essay

Business Intelligence

...and Expert Systems Dr. Ashraf Shirani Literature Review for Group 1 Group Members: Leslie Allen Joe Nimely Oluranti Odofin Gary Turner The topic for the research paper will be business intelligence, most specifically the impact on privacy. The data gathered through various business intelligence technologies, while it may not be personally identifiable information such as name and/or social security number, the data provided to businesses gives them a greater insight into consumer behavior. This provides the businesses with information to leverage additional sales and services. Businesses gather all kinds of data on consumers, often sharing with other related competitors, to obtain a better view of the consumer behavior, including trends and associations. The information obtained through business intelligence may or may not be personally identifiable, it may still be sensitive in nature. Does it cross the line ethically? Are there other techniques to gather this information while maintaining privacy for the consumer? In this paper, the ethical issues of privacy on business intelligence will be explored to determine if the business intelligence outweighs the intrusion on privacy. Key concepts in this review include privacy, big data analytics, business intelligence, ethical awareness framework, data mining, hackers, and the Organization of Economic Cooperation and Development (OECD) guidelines. Data mining is discovering knowledge from large amounts of data...

Words: 2246 - Pages: 9

Premium Essay

Business Intelligence

...components 8 4.2 Enterprise Resource Planning (ERP) 9 4.3 Levels Of Strategy Within An Organisation And Linkage To Bi 11 4.3.1 The Corporate Level Strategy 11 4.3.2 Business-Level Strategy 12 4.3.4 Operational Strategy 13 4.3.5 Bi implementation strategies 14 4.3.5 Balance Scorecard (BSC) 15 5. The Macro Environment of Sensible Solution Ltd 17 5.1 Swot Analysis 17 5.2 Pestle Analysis 18 6. CONCLUSION/RECOMMENDATIONS 19 7. REFERENCES 21 LIST OF FIGURES Figure 1:Linking Sensible Solution Ltd strategy and goals with Business Intelligence 5 Figure 2:Linkage in Organisation & Functional Benefits of Business Intelligence 6 Figure 3:What business intelligence means in practice 7 Figure 4:The Road Map of BPM define the steps that the company needs to follow as a guide to ensure that the I.T Strategic has the same goals as business strategy 9 Figure 5:ERP integration of all departments within organisation 10 Figure 6:The Enterprise Data Model is the Foundation for Linking Strategy and Analytic Capabilities - it Links the Data to the Business Strategy 11 Figure 7:Business Strategy and BI capabilities 12 Figure 8:The layout of Corporate Strategy, Business Strategy and Operational strategy Links to BI 13 Figure 9:The BI Pathway Methods 14 Figure 10:Business intelligence development process flow from requirements through implementation. 15 Figure 11: The logic of the balanced scorecard 16 Figure 12: SWOT analysis 17 Figure 13 :PESTLE Analysis...

Words: 4398 - Pages: 18

Premium Essay

Business Intelligence

...journal is to quickly update the researchers in specific fields. Facilitating them with latest Research Paper, Bibliography of research papers and books. The goal of AJMR is to bring fresh perspective to research in management and take research to masses through its open access, internet based technology. AJMR is a quarterly journal, and every quarter a new topic/theme is chosen and paper pertaining to it are called for and subsequently reviewed for publication. We take this opportunity to invite research papers, case studies, monographs on the below stated theme. The theme for the August issue is “Business Intelligence, Analysis and Strategy” Background Theme The key to thriving in a competitive marketplace is staying ahead of the competition. Making sound business decisions based on accurate and current information takes more than intuition. Business success depends upon opportunities availed, strategy designed and action taken. But in most of the situation like in retail where Fifty-Three percent (53%) of large retailers indicate that customer analysis is difficult due to enormity of data from different channels. Retailers have more data than they are capable of processing. More often than not retailers blame disparate sources and enormity of customer data as the primary reason for lack of adequate consumer insights that inhibits new customer acquisition, customer retention and reactivation....

Words: 649 - Pages: 3

Premium Essay

Business Intelligence Applications

...Business Intelligence Applications Paul Villela CSCI 4304:Database Systems Dr. Carolyn W. Green 2 December 2014 Business Intelligence Applications On the May 4th, 2014 episode of Mad Men (appropriately entitled “The Monolith”, a clever nod to the iconic black monolith which provides the impetus for the evolutionary leap from beast to man in Arthur C Clarke’s novel “2001: A Space Odyssey”) Sterling Cooper & Partners, the fictional ad agency around which the show revolves, purchases and installs a brand new IBM 360 computer. While the vast majority of the office greets the massive, expensive machine with much apprehension (“What man lay on his back counting stars and thought about a number?” asks Don Draper, head of the Creative Department (played by John Hamm)) (Stevenson, 2014), Senior Partner and visionary Jim Cutler (played by Harry Hamlin) understands the power and potential of just such a machine, particularly in the field of advertising. Sterling Cooper & Partners gain an edge that their competition would not have for several more years, as well as a service they can offer their customers, one many of whom would not provide for themselves for even longer. What Jim Cutler was envisioning was a strategic idea currently referred to as Business Intelligence. A Brief History of Business Intelligence The concept of Business Intelligence (BI) began as a direct descendent of an information system called the Decision Support System (DSS), a system used for complex...

Words: 2993 - Pages: 12