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Module III.docx

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Department
Administration
Course
ADM1370
Professor
All Professors
Semester
Fall

Description
ADM1370 Module IIIData Text and Document ManagementAssetsresources with recognized values that are under the control of an individual or organizationOrganizations most strategic assets are their data text and documentshelps improve productivityData management provides the infrastructure and tools necessary to transform raw data into usable corporate information of the highest qualityOpportunity to earn revenues customer relationship managementAbility to cut expenses inventory managementManagers and other decision makers need access to correct comprehensive and consistent data if they are to improve their business processes and strategiesDatabasestore enterprise data that a companys business applications create or generate such as sales accounting and employee data Data entering the database from point of sale POS terminals online sales and other sources is stores in an organized format so that it can be managed and retrievedData warehousea specialized type of database that aggregates data from transaction databases so it can be analyzed Data errors and inconsistencies lead to mistakes and lost opportunities therefore sometimes managers are constrained by data that cannot be trusted because it is incomplete outdated inaccurate or inaccessible The decision maker faces too much uncertainty to make an intelligent business decisionData ManagementData Managementstructured approach for capturing storing processing integrating distributing securing and archiving data effectively throughout its life cycle 1Principle of diminishing data valueThe more recent the data the more valuable it is Most organizations cannot operate at peak performance with data 30 days or older2Principle of 9090 data use90 of stored data is seldom accessed after 90 days except for auditing purposes3Principle of data in contextData must be integrated processed analyzed into actionable information End users need to see data in a meaningful format and context if the data is to guide their decisions and plansData visualizationData visualizationpresenting data in ways that are faster and easier for users to understandEmployee portalssoftware applications that consolidate manage analyze and transmit data to users through Webbased interfaceManaging searching for and retrieving data located throughout the enterprise is a major challenge for various reasonsThe volume of data increases exponentially with time new data is added constantly and rapidly Business records must be kept for a long time for auditing or legal reasons even though the organization itself may no longer need to access themExternal data that needs to be considered in making organizational decisions is constantly increasing in volumeData is scattered throughout organizations and is collected and created by many individuals using different methods devices and channels Data is frequently stored in multiple servers and locations and also in different computing systems databases formats and computer and human languageData security quality and integrity are critical yet easily jeopardized In addition legal requirement relating to data differ among countries and they change frequentlyData is being created and used offline without going through quality control checks hence the validity of data is questionableData throughout an organization may be redundant and outofdate creating a huge maintenance problem for data managersWith the prevalence of clientserver networks and Web technologies numerous distinct databases are created and spread through the organization creating problems in managing this data so its consistent in each location Clientserver networksuser PCs called clients linked to highperformance computers called servers which provide software data or computing services over a networkMaster Data ManagementMaster Data Management MDMprocess where companies integrate data from various sources or enterprise applications to provide a more unified view of the data Consolidates data from various sources into a master reference file which then feeds data back to the applications creating accurate and consistent data across the enterpriseData entityanything real or abstract about which a company wants to collect and store data a master reference file is based on entities Ex Customer vendor product or employeeMaster Data EntitiesMaster data entities are the main entities of a company such as customers products suppliers employees and assets Each organizational department has distinct master data needsEx A customer master reference file can feed data to all enterprise systems that have a customer relationship component providing a unified view of the customersBetter more accurate customer data ti support marketing sales support and service initiativesBetter responsiveness to ensure all employees who deal with customers have uptodate reliable info on the customers
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