C H A P T E R Introduction to In as long as mation Systems 1 Mass Customization Revisite

C H A P T E R Introduction to In as long as mation Systems 1 Mass Customization Revisite www.phwiki.com

C H A P T E R Introduction to In as long as mation Systems 1 Mass Customization Revisite

Spann, James, Meteorologist has reference to this Academic Journal, PHwiki organized this Journal C H A P T E R Introduction to In as long as mation Systems 1 Mass Customization Revisited Building Impenetrable Customer Loyalty “A company that aspires to give customers exactly what they want must look at the world through new lenses. It must use technology to become two things: a mass customizer that efficiently provides individually customized goods in addition to services, in addition to a one-to-one marketer that elicits in as long as mation from its customer about his or her specific needs in addition to preferences.” B. Joseph Pine, II, Strategic Horizons What is Data Raw Material Numbers in addition to strings of letters with no precise context or meaning

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What is In as long as mation Data processed with knowledge “Data endowed with relevance in addition to purpose” “Data becomes in as long as mation when its creator adds meaning” “An organized, meaningful, in addition to useful interpretation of data” What is Knowledge “A body of guidelines in addition to rules used to select, organize, in addition to manipulate data to make it suitable as long as a given task” “An awareness in addition to underst in addition to ing of a set of in as long as mation in addition to how that in as long as mation can be put to its best use” “Internalized in as long as mation + the ability to utilize this in as long as mation” Data trans as long as med into In as long as mation Raw facts A collection of facts organized in such a way that they have additional value beyond the value of facts themselves. Guidelines in addition to procedures used to select, organize, in addition to manipulate data to make it suitable as long as a specific task. Process

Data becomes In as long as mation Establishing relationships between data creates in as long as mation. In as long as mation = Data + Relationships Characteristics of Valuable In as long as mation Relevant Complete Accurate Current/Timely Economical Accessible Does Perfect In as long as mation Lead to Perfect Decisions IBM Among the first to learn that PCs were revolutionizing the computer industry. Wal-Mart “We got big by replacing inventory with in as long as mation” Wal-Mart CIO

Determining the Value of In as long as mation Measurements Time saved, lower costs More accurate as long as ecasts Improved service Often difficult to quantify Payback period What is a System Components that work together to achieve a goal by accepting input, processing it, in addition to producing output in an organized manner. e.g. a sound system Components of a System Output that is used to make changes to input or processing activities

Components of a System Open vs. Closed Systems Closed System St in addition to s alone No connection to other systems Open System Interfaces in addition to interacts with other systems Gets in as long as mation from in addition to provides in as long as mation to other systems System Per as long as mance Efficiency A measure of what is produced divided by what is consumed. Effectiveness A measure of what is achieved divided by the stated goal.

System Per as long as mance St in addition to ards Sales Defects System Variables in addition to Parameters System Variable A quantity or item that can be controlled by the decision maker (controllable). e.g. selling price System Parameter A value or quantity that cannot be controlled by the decision maker. e.g. raw material costs So, What is an In as long as mation System In as long as mation System: Components that work together to process data in addition to produce in as long as mation (to help companies solve problems in addition to make decisions). In as long as mation: An organized, meaningful, in addition to useful interpretation of data System: Components that work together to achieve a goal by accepting input, processing it, in addition to producing output in an organized manner

The Components of a CBIS Hardware Software Operating systems Applications Databases Telecommunications/Networks People Procedures Types of Business In as long as mation Systems Transaction Processing E-Commerce Workflow Enterprise Resource Planning Management In as long as mation Decision Support Artificial Intelligence/Expert Transaction Processing Transaction Any business related exchange Tend to be routine, labor-intensive “Interactions”

Transaction Processing Transaction processing system (TPS) The application of in as long as mation technology to routine, repetitive, in addition to usually ordinary business transactions Transaction Processing System E-Commerce E-Commerce Any business transaction executed electronically between parties involving the exchange of goods in addition to /or services B2B, B2C Workflow Rule-based

Spann, James WBMA-TV Meteorologist www.phwiki.com

E-Commerce Lowering Barriers to Entry Traditionally Sales as long as ce Advertising & promotion Factories, warehouses, retail stores Competing electronically Increases the threat of new companies Enterprise Resource Planning (ERP) Integrated programs that can manage a company’s entire set of business operations Often coordinate planning, inventory control, production in addition to ordering Management In as long as mation System (MIS) Management In as long as mation System Used to provide routine in as long as mation to help managers plan, control, in addition to make decisions Characteristics Focus on operational efficiency Supports functional areas Common database St in addition to ard reports

Management In as long as mation System Types of Reports Scheduled Dem in addition to Exception Decision Support Systems Decision Support Systems (DSS) Used to support decision making (e.g. where to build, how much to order) Characteristics Suggests in addition to compares alternatives Problem is complex In as long as mation is voluminous Artificial Intelligence Artificial Intelligence (AI) A field that involves computer systems taking on the characteristics of human intelligence Robotics Natural language processing Learning systems Neural networks (patterns & trends)

Justifying IS Tangible savings (reduced costs) Intangible savings (better decisions) Legal requirements (reports) Modernization (Y2K, new apps) Pilot project (laptops) Roles in addition to Functions in the IS Department Homework Read articles about Buffet & Gates Subscribe to ListProc this week Study Guide by Friday Test on Monday

Spann, James Meteorologist

Spann, James is from United States and they belong to WBMA-TV and they are from  Birmingham, United States got related to this Particular Journal. and Spann, James deal with the subjects like Meteorology

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