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    6.1 2007 by Prentice Hall

    6

    Chapter

    Foundations ofBusiness Intelligence:

    Databases and

    InformationManagement

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    Distributing databases: Storing database in more than one place

    Two main methods of distributing a database Partitioned: Separate locations store different parts of database

    Replicated: Central database duplicated in entirety at different locations.

    Advantages Reduced vulnerability

    increased service, responsiveness

    Run on smaller computers

    Drawbacks May depart from standard definitions Pose Security problems access to sensitive data.

    Management Information SystemsChapter 6 Foundations of BusinessIntelligence: Databasesand Information Management

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    Distributed Databases

    Figure 6-12

    There are alternative ways of distributing a database. The central database can be partitioned (a)so that each remote processor has the necessary data to serve its own local needs. The centraldatabase also can be replicated (b) at all remote locations.

    The Database Approach to Data Management

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Large companies with very large databases and systems forseparate functions

    Special capabilities, tools required to

    To analyze large quantities of data To access data from multiple Systems

    Three key techniques Data warehousing Data mining Tools for accessing internal databases through the Web

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Database warehouses

    Data warehouse:

    Stores current and historical data from many core operational

    transaction systems Consolidates and standardizes information for use across enterprise,

    but data cannot be altered

    Data warehouse system will provide query, analysis, and reportingtools

    Data marts: Subset of data warehouse with summarized or highly focused portion

    of firms data for use by specific population of users

    Typically focuses on single subject or line of business

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    Components of a Data Warehouse

    Figure 6-13

    The data warehouse extracts current and historical data from multiple operational systems inside theorganization. These data are combined with data from external sources and reorganized into a centraldatabase designed for management reporting and analysis. The information directory provides userswith information about the data available in the warehouse.

    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

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    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Once data is captured and organized in datawarehouse and data marts

    Further analysis can be done on it.

    Series of tools enables users

    To analyze the data

    See new patterns Relationships and insights

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Business Intelligence:

    Tools for consolidating, analyzing, and providing accessto vast amounts of data to help users make better

    business decisions

    Principle tools include:

    Software for database query and reporting

    Online analytical processing (OLAP)

    Data mining

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    Business Intelligence

    Figure 6-14

    A series ofanalytical toolsworks with datastored indatabases to findpatterns andinsights forhelpingmanagers andemployees makebetter decisionsto improveorganizationalperformance.

    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Online analytical processing (OLAP)

    Sophisticated data analysis

    Supports multidimensional data analysis

    Enables viewing data using multiple dimensions

    Each aspect of information (product, pricing, cost,region, time period) is different dimension

    E.g. how many washers sold in each of the salesregion ?compare actual results with projected results.

    Complex requests

    OLAP enables rapid, online answers to queries

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    Multidimensional Data Model

    Figure 6-15

    The view that isshowing isproduct versusregion. If yourotate the cube 90degrees, the face

    that will show isproduct versusactual andprojected sales. Ifyou rotate thecube 90 degreesagain, you will seeregion versus

    actual andprojected sales.Other views arepossible.

    Using Databases to Improve Business Performance and Decision Making

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    and Information Management

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Data mining:

    More discovery driven than OLAP

    Provides insights that cannot be obtained from OLAP.

    Finds hidden patterns, relationships in large databases

    Infers rules to predict future behavior

    The patterns and rules are used to guide decision makingand forecast the effect of those decisions

    Popularly used to provide detailed analyses of patterns in

    customer data for one-to-one marketing campaigns or toidentify profitable customers.

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Types of information obtainable from data mining

    Associations:Occurrences linked to single event

    Ex: Chips purchased then a drink is purchased 65%,but when thereis a promotion then drink is bought 85% times.

    Sequences:Events linked over time

    Ex:House is purchased, Refrigerator will be purchased in the nexttwo weeks 65% of the time.

    Classification:Recognizes patterns that describe group to

    which item belongs. Group of customers which will leave. Clustering:Similar to classification when no groups have been

    defined; finds groupings within data, customer demographics.

    Forecasting:Uses series of existing values to forecast whatother values will be,Ex future value of sales figure.

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Predictive analysis

    Uses data mining techniques, historical data, andassumptions about future conditions to predict outcomes of

    events E.g. Probability a customer will respond to an offer or

    purchase a specific product.

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    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Text mining Extracts key elements from large unstructured data sets (e.g.,

    e-mails, memos, survey responses) Discover patterns and relationships and summarizes info.

    Web Mining

    Info from Web can be mined for patterns, trends and insights in to customerbehavior. The discovery and analysis of useful patterns and info from Web is called Web

    mining.

    Businesses use Web mining to help understand customer behavior,

    evaluate the effectiveness of a website. Success of a marketing campaign. Ex marketers use google trends and services to learn what people are interested in

    and what are they interested in buying.

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    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Web Mining:

    Content mining Extracting knowledge from content of web pages

    Structure mining Ex links pointing to a document

    Usage mining Activities of websites user.

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    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Databases and the Web Many companies use Web to make some internal databases

    available to customers or partners

    Typical configuration includes: Web server

    Application server/middleware

    Database server (hosting DBM)

    Advantages of using Web for database access:

    Ease of use of browser software

    Web interface requires few or no changes to database

    Inexpensive to add Web interface to system

    M I f i S

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    Linking Internal Databases to the Web

    Figure 6-16

    Web browser communicates with web server using HTML commands.Html commands Converted to SQL.DBMS receives the SQL Request and getthe required data. Application Server get the data from the database back toweb server in the form of webpage to the end user.

    Users access an organizations internal database through the Web using

    their desktop PCs and Web browser software.

    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    M t I f ti S t

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    The InternetMovieDatabaseWeb site islinked to amassivedatabase thatincludes

    summaries,castinformation,and actorbiographiesfor almostevery filmever released.

    Using Databases to Improve Business Performance and Decision Making

    Management Information SystemsChapter 6 Foundations of Business Intelligence: Databases

    and Information Management

    Chapter 6 Foundations of Business Intelligence:

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    Chapter 6 Foundations of Business Intelligence:Databases

    and Information ManagementManaging Data Resources

    Read the Interactive Session: Technology, and thendiscuss the following questions:

    What kind of databases and database servers does My

    Space use? Why is database technology so important for a

    business such asMy Space?

    How effectively does My Space organize and store thedata on its site? What data management problems have arisen? How

    has My Space solved or attempted to solve theseproblems.

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