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Chapter 5 Data Resource Management James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8 th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
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Page 1: Data Resource Management

Chapter 5 Data Resource Management

James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed.  Boston, MA: McGraw-Hill, Inc., 2007.  ISBN: 13 9780073323091

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Chapter 5 Data Resource ManagementChapter 5 2

Explain the business value of implementing data resource management processes and technologies in an organization

Outline the advantages of a database management approach to managing the data resources of a business, compared to a file processing approach

Explain how database management software helps business professionals and supports the operations and management of a business

Provide examples to illustrate the following concepts: Major types of databases Data warehouses and data mining Logical data elements Fundamental database structures Database development

Learning Objectives

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Case 1 Sharing Business Databases Amazon’s data vault

Product descriptions Prices Sales rankings Customer reviews Inventory figures Countless other layers of content

Took 10 years and a billion dollars to build

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Case 1 Sharing Business Databases

Amazon opened its data vault in 2002 65,000 developers, businesses, and entrepreneurs have

tapped into it Many have become ambitious business partners

eBay opened its $3 billion databases in 2003 15,000 developers and others have registered

to use it and to access software features 1,000 new applications have appeared 41 percent of eBay’s listings are uploaded to

the site using these resources

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Case 1 Sharing Business Databases Google recently unlocked access to its desktop

and paid-search productsDozens of Google-driven services cropped upDevelopers can grab 1,000 search results a

day for free; anything more requires permission

In 2005, the Ad-Words paid-search service was opened to outside applications

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Case Study Questions What are the business benefits to Amazon and eBay of

opening up some of their databases to developers and entrepreneurs? Do you agree with this strategy?

What business factors are causing Google to move slowly in opening up its databases? Do you agree with its go-slow strategy?

Should other companies follow Amazon and eBay’s lead and open up some of their databases to developers and others? Defend your position with an example of the risks and

benefits to an actual company

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Logical Data Elements

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Logical Data Elements Character

A single alphabetic, numeric, or other symbol Field or data item

Represents an attribute (characteristic or quality)of some entity (object, person, place, event)

Example: salary, job title Record

Grouping of all the fields used to describe the attributes of an entity

Example: payroll record with name, SSN, pay rate File or table

A group of related records Database

An integrated collection of logically related data elements

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Electric Utility Database

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Database Structures

Common database structures…HierarchicalNetworkRelationalObject-orientedMulti-dimensional

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Hierarchical Structure

Early DBMS structure Records arranged in tree-

like structure Relationships are one-to-

many

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Network Structure

Used in some mainframe DBMS packages Many-to-many relationships

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Relational Structure

Most widely used structure Data elements are stored in tables Row represents a record; column is a field Can relate data in one file with data in another,

if both files share a common data element

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Relational Operations

SelectCreate a subset of records that meet a stated

criterion Example: employees earning more than

$30,000 Join

Combine two or more tables temporarilyLooks like one big table

ProjectCreate a subset of columns in a table

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Multidimensional Structure

Variation of relational modelUses multidimensional structures to

organize dataData elements are viewed as being in cubesPopular for analytical databases that support

Online Analytical Processing (OLAP)

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Multidimensional Model

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Object-Oriented Structure An object consists of

Data values describing the attributes of an entity

Operations that can be performed on the data Encapsulation

Combine data and operations Inheritance

New objects can be created by replicating some or all of the characteristics of parent objects

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Object-Oriented Structure

Source: Adapted from Ivar Jacobsen, Maria Ericsson, and Ageneta Jacobsen, The Object Advantage: Business Process Reengineering with Object Technology (New York: ACM Press, 1995), p. 65. Copyright @ 1995, Association for Computing Machinery. By permission.

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Object-Oriented Structure

Used in object-oriented database management systems (OODBMS)

Supports complex data types more efficiently than relational databasesExample: graphic images, video clips,

web pages

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Evaluation of Database Structures Hierarchical

Works for structured, routine transactionsCan’t handle many-to-many relationship

NetworkMore flexible than hierarchicalUnable to handle ad hoc requests

RelationalEasily responds to ad hoc requestsEasier to work with and maintainNot as efficient/quick as hierarchical or network

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Database Development

Database Administrator (DBA) In charge of enterprise database development Improves the integrity and security of

organizational databasesUses Data Definition Language (DDL) to

develop and specify data contents, relationships, and structure

Stores these specifications in a data dictionary or a metadata repository

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Data Dictionary A data dictionary

Contains data about data (metadata)Relies on specialized software component to

manage a database of data definitions It contains information on..

The names and descriptions of all types of data records and their interrelationships

Requirements for end users’ access and use of application programs

Database maintenanceSecurity

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Database Development

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Data Planning Process

Database development is a top-down processDevelop an enterprise model that defines the

basic business process of the enterpriseDefine the information needs of end users in

a business process Identify the key data elements that are

needed to perform specific business activities (entity relationship diagrams)

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Entity Relationship Diagram

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Database Design Process Data relationships are represented in a data model that

supports a business process This model is the schema or subschema on which to

base… The physical design of the database The development of application programs to support

business processes Logical Design

Schema - overall logical view of relationships Subschema - logical view for specific end users Data models for DBMS

Physical Design How data are to be physically stored and

accessed on storage devices

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Logical and Physical Database Views

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Data Resource Management Data resource management is a managerial activity

Uses data management, data warehousing, and other IS technologies

Manages data resources to meet the information needs of business stakeholders

Data stewards Dedicated to establishing and maintaining the

quality of data Need business, technology, and diplomatic skills Focus on data content

Judgment is a big part of the job

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Case Study Questions

Why is the role of a data steward considered to be innovative?

What are the business benefits associated with the data steward program at Emerson?

How does effective data resource management contribute to the strategic goals of an organization?

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Types of Databases

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Operational Databases

Stores detailed data needed to support business processes and operationsAlso called subject area databases (SADB),

transaction databases, and production databases

Database examples: customer, human resource, inventory

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Distributed Databases Distributed databases are copies or parts of databases stored on

servers at multiple locations Improves database performance at worksites

Advantages Protection of valuable data Data can be distributed into smaller databases Each location has control of its local data All locations can access any data, any where

Disadvantages Maintaining data accuracy

Replication Look at each distributed database and find changes Apply changes to each distributed database Very complex

Duplication One database is master Duplicate the master after hours, in all locations Easier to accomplish

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External Databases

Databases available for a fee from commercial online services, or free from the WebExample: hypermedia databases, statistical

databases, bibliographic and full text databases

Search engines like Google or Yahoo are external databases

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Hypermedia Databases

A hypermedia database containsHyperlinked pages of multimedia Interrelated hypermedia page elements,

rather than interrelated data records

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Components of Web-Based System

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Data Warehouses Stores static data that has been extracted from

other databases in an organizationCentral source of data that has been cleaned,

transformed, and catalogedData is used for data mining, analytical

processing, analysis, research, decision support Data warehouses may be divided into data marts

Subsets of data that focus on specific aspects of a company (department or business process)

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Data Warehouse Components

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Applications and Data Marts

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Data Mining Data in data warehouses are analyzed to reveal

hidden patterns and trendsMarket-basket analysis to identify new

product bundlesFind root cause of qualify or manufacturing

problemsPrevent customer attritionAcquire new customersCross-sell to existing customersProfile customers with more accuracy

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Traditional File Processing Data are organized, stored, and processed in

independent filesEach business application designed to use

specialized data files containing specific types of data records

ProblemsData redundancyLack of data integrationData dependence (files, storage devices,

software)Lack of data integrity or standardization

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Traditional File Processing

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Database Management Approach The foundation of modern methods of managing

organizational dataConsolidates data records formerly in

separate files into databasesData can be accessed by many different

application programsA database management system (DBMS) is

the software interface between users and databases

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Database Management Approach

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Database Management System

In mainframe and server computer systems, a software package that is used to…Create new databases and database

applicationsMaintain the quality of the data in an

organization’s databasesUse the databases of an organization to

provide the information needed by end users

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Common DBMS Software Components Database definition

Language and graphical tools to define entities, relationships, integrity constraints, and authorization rights

Nonprocedural accessLanguage and graphical tools to access data

without complicated coding Application development

Graphical tools to develop menus, data entry forms, and reports

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Common DBMS Software Components

Procedural language interfaceLanguage that combines nonprocedural access

with full capabilities of a programming language Transaction processing

Control mechanism prevents interference from simultaneous users and recovers lost data after a failure

Database tuningTools to monitor, improve database performance

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Database Management System Database Development

Defining and organizing the content, relationships, and structure of the data needed to build a database

Database Application DevelopmentUsing DBMS to create prototypes of queries,

forms, reports, Web pages Database Maintenance

Using transaction processing systems and other tools to add, delete, update, and correct data

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DBMS Major Functions

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Database Interrogation

End users use a DBMS query feature or report generatorResponse is video display or printed reportNo programming is required

Query language Immediate response to ad hoc data requests

Report generatorQuickly specify a format for information you

want to present as a report

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Database Interrogation SQL Queries

Structured, international standard query language found in many DBMS packages

Query form is SELECT…FROM…WHERE…

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Database Interrogation

Boolean LogicDeveloped by George Boole in the mid-1800sUsed to refine searches to specific

informationHas three logical operators: AND, OR, NOT

ExampleCats OR felines AND NOT dogs OR

Broadway

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Database Interrogation

Graphical and Natural Queries It is difficult to correctly phrase SQL and other

database language search queriesMost DBMS packages offer easier-to-use,

point-and-click methodsTranslates queries into SQL commandsNatural language query statements are similar

to conversational English

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Graphical Query Wizard

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Database Maintenance

Accomplished by transaction processing systems and other applications, with the support of the DBMSDone to reflect new business transactions and

other eventsUpdating and correcting data, such as

customer addresses

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Application Development

Use DBMS software development tools to develop custom application programsNot necessary to develop detailed data-

handling procedures using conventional programming languages

Can include data manipulation language (DML) statements that call on the DBMS to perform necessary data handling

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Case 3 Acxiom Corp. Data Acxiom does three things really well…

Manages large volumes of dataCleans, transforms, and enhances that dataDistills business intelligence from that data to

drive smart decisions Refined data is sold to customers

Developing telemarketing lists Identifying prospects for credit card offersScreen prospective employeesDetecting fraudulent financial transactions

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Case 3 Acxiom Corp. Data

Primary business activitiesBuilding its data librarySelling dataManaging other companies’ data and data

centers

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Case Study Questions Acxiom is in a unique type of business. How

would you describe the business of Acxiom?Are they a service- or product-oriented

business? It is easy to see that Acxiom has focused on a

wide variety of data from different sources. How does Acxiom decide which data to collect,

and for whom? Acxiom’s business raises many issues related

to privacy. Are the data collected by Acxiom really private?

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Case 4 Protecting the Data Jewels

Harrah’s Entertainment and other casino companies closely guard customer dataBoth hard copy and electronic files

ConcernsBroader access to CRM systemsMore frequent job switching

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Case 4 Protecting the Data Jewels Protection methods

Nondisclosure, non-compete, and nonsolicitation agreements that specify customer lists

Trade-secret laws and legal actionLimiting access to sensitive informationPhysical security Strong password protectionReinforcement of signed agreements during

exit interviewsMonitoring electronic communication

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Case Study Questions Why have developments in IT helped to

increase the value of the data resources of many companies?

How have these capabilities increased the security challenges associated with protecting a company’s data resources?

How can companies use IT to meet the challenges of data resource security?