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    Managing Data in Organizations

    By:

    Group - 5

    Arpan Majumdar(2012076)N Ashish Gupta(2012078)

    Gaurav Malik(2012115)

    Gaurav Prakash(2012116)

    Gaurav Rao(2012117)

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    Data

    Information in raw or unorganized form (such asalphabets, numbers, or symbols) that refer to,

    or represent, conditions, ideas, or objects.

    Data leads to Information & Knowledge.

    Business decisions are based on Information.

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    History of Data Management

    1950s- File systems

    1960s- Hierarchical DBMS

    1970S- Network DBMS,followed by relational DBMS

    1990s- Object-oriented

    DBMS

    21st century- NoSQL

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    Managing Data

    An analysis of data reveals that 75% of it is

    never accessed, while barely 25% is accessed

    and updated frequently.

    Data can be described as being active, less

    active, historical or ready to be archived.

    Data that must be kept is an asset; Data

    retained past its retention period may become

    a liability.

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    Problems in Managing Data

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    Problems Contd

    Data Redundancy It occurs in database systems whichhave a field that is repeated in two or more tables

    Data Inconsistency- It means that the various copies ofthe data no longer agree.

    Data Isolation- Difficulties in accessing data from differentapplications.

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    Role of Information Technology

    Database Management System(DBMS)

    Data Warehousing

    Data Mining

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    INTRODUCTION OF DBMS

    COLLECTION OF INTERRELATED DATA

    SET OF PROGRAMS TO ACCESS DATA.

    DATA BASE APLLICATIONS:

    -BANKING: ALL TRANSACTIONS

    -AIRLINES: RESERVATIONS, SCHEDULES

    -UNIVERSITIES: REGISTRATION, GRADES

    -SALES: CUSTOMERS,PRODUCTS,PURCHASES

    -HUMAN RESOURCES: EMPLOYEE RECORDS,SALARIES,TAXDEDUCTIONS

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    COMPONENTS OF DBMS

    DATABASE

    DBA(DATABASE ADMINISTRATOR)

    DATABASE USER

    HARDWARE

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    FEATURES OF DBMS

    ACCEPT DATA INPUT AND STORE

    MULTI USER ACCESS

    SECURITY

    QUERY LANGUAGES(SEARCHING AND SORTING)

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    DATA MODELING

    DATA MODEL: A WAY TO DESIGN A DATABASE OR DESCRIBE A

    DATABASE.

    DATA M0DELING: PROCESS OF CREATING A DATA MODEL

    DATA MODELS:

    -E-R MODEL

    -RELATIONAL MODEL-HIERARCHICAL MODEL

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    DATA WAREHOUSE

    A COLLECTION OF CORPORATE INFORMATION, DERIVED

    DIRECTLY FROM OPERATIONAL SYSTEMS AND SOME

    EXTERNAL DATA SOURCES.

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    PURPOSE OF DATA WAREHOUSING

    REALIZE THE VALUE OF DATA

    -DATA/INFORMATION IS AN ASSET

    -METHOD TO REALIZE THE VALUE(REPORTING,ANALYZING

    ETC.) MAKE BETTER DECISIONS

    -TURN DATA INTO INFORMATION

    -CREATE COMPETITIVE ADVANTAGE

    -METHODS TO SUPPORT THE DECISION MAKING PROCESS

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    VERY LARGE DATABASES

    WAREHOUSES ARE VERY LARGE DATABASES

    TERABYTES- 10^12 -- WAL-MART

    PETA BYTES-10^15 -- GEOGRAPHIC INFORMATION SYSTEM

    EXABYTES -10^18-- NATIONAL MEDICAL RECORDSZETTABYTES-10^21-- WEATHER IMAGES

    ZOTTABYTES-10^24-- INTELLIGENCE AGENCY VIDEOS

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    DATA MINING

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    INTRODUCTION

    Data mining is the process of analyzing data fromdifferent perspectives and summarizing it into usefulinformation.

    Data mining software is one of a number of analytical

    tools for analyzing data. It allows users to analyze datafrom many different dimensions or angles, categorize it,and summarize the relationships identified.

    Technically, data mining is the process of finding

    correlations or patterns among dozens of fields in largerelational databases.

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    What can data mining do?

    Data mining is primarily used today by companies with a

    strong consumer focus - retail, financial, communication,

    and marketing organizations. It enables these companies

    to determine relationships among "internal" factors such

    as price, product positioning, or staff skills, and

    "external" factors such as economic indicators,

    competition, and customer demographics.

    With data mining, a retailer could use point-of-salerecords of customer purchases to send targeted

    promotions based on an individual's purchase history.

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    How does data mining work?

    Classes: Stored data is used to locate data in predeterminedgroups. For example, a restaurant chain could mine customerpurchase data to determine when customers visit and whatthey typically order.

    Clusters: Data items are grouped according to logical

    relationships or consumer preferences. For example, data canbe mined to identify market segments or consumer affinities.

    Associations: Data can be mined to identify associations.

    Sequential patterns: Data is mined to anticipate behaviorpatterns and trends. For example, an outdoor equipment

    retailer could predict the likelihood of a backpack beingpurchased based on a consumer's purchase of sleeping bagsand hiking shoes.

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    SAP

    Usage in Industry sectors

    Effect of Globalization

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    Usage in the Manufacturing Sector

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    SAP

    Basic Commands

    01

    Create

    02 Change

    03 Display

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    Departmental usage of SAP

    Design

    Process planning

    Production Purchasing

    Logistics

    Commercial Quality.

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    Design

    Bill of Material (BOM)

    Engineering Drawings & 3D models

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    Bill of Material

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    Engineering Drawing & 3D Models

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    Purchasing

    Purchase orders

    Purchase Requisition related procurements

    (what does one fill PRs for?)

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    Purchase Requisitions

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    Process Planning

    Material Master

    Production Orders (Creation/Confirmation)

    Routing

    Purchase Requisitions

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    Material Master

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    Production Order Creation

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    Production Order Confirmation

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    Routing

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    Production

    Production Order Status

    Fills in the material requisition form and gets

    the material from Logistics

    Begins production.

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    Production Order Status

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    Quality

    Maintaining defective/non-defective part logs.

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    Logistics

    Inventory Management

    Raw Material Matching

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    What is SharePoint?

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    Microsoft SharePoint is a flexible, service-oriented architecture (SOA) based web

    application platform developed by Microsoft. First launched in 2001.SharePoint has

    historically been associated with intranet content management and document

    management, but recent versions have significantly broader capabilities.

    SharePoint can be used to provide intranet portals, document & file management,

    collaboration, social networks, extranets, websites, enterprise search, and business

    intelligence. It also has capabilities around system integration, process integration, and

    workflow automation.

    Enterprise application software (e.g. ERP or CRM packages) often provide some

    SharePoint integration capability, and SharePoint also incorporates a complete

    development stack based on web technologies and standards-based APIs.

    As an application platform, SharePoint provides central management, governance, andsecurity controls for implementation of these requirements. The SharePoint platform

    integrates directly into IIS - enabling bulk management, scaling, and provisioning of

    servers, as is often required by large organizations or cloud hosting providers.

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    What SharePoint can facilitate

    inside organizations?

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    The

    SharePoint

    wheel

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    Applications

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    The most common uses of

    SharePoint include

    Intranet Portals:- A SharePoint intranet portal is a way tocentralize access to enterprise information and applications on a

    corporate network.

    Enterprise content and document

    management:- It is used to store and track electronicdocuments or images of paper documents.

    Extranet Sites:- It is used to provide password-protected,web-facing access to people outside an organization

    Internet Sites:- It is used to manage larger public websites

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    System Requirement

    Processor 64-bit, four cores.

    RAM

    4 GB developer or evaluation use.

    At least 8 GB for production use in

    one server or multiple server farm.

    Hard disk 80 GB for system drive, varies for

    production environment depending

    on application size.

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    SharePoint editions

    SharePoint Foundation

    SharePoint Standard

    SharePoint Enterprise

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