Introduction to Decision Support System

Introduction to Decision Support SystemSoetam Rizky

What is dss ?

DSS ?an interactive computer-based system or subsystem intended to help decision makers use communications technologies, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decisioninteractive computer-based system

DSS ?general term for any computer application that

enhances a person or groups ability to make decisions. enhances a person or groups ability to make decisions.

DSS ?a computer-based system that represents and processes knowledge in ways that allow decision making to be more productive, agile, innovative, and/or reputable productive, agile, innovative, and/or reputable

DSS ?academic field of research that involves designing and studying Decision Support Systems in their context of use.

Before we continue.DSS should be :interactive computer-based systemenhances a person or groups ability to make decisionsMore productive, agile, innovative, and/or reputable

DSS ?

Why we learn dss ?

DSS for ISIncreasing complexity of decisionsTechnologyInformation: Data, data everywhere, and not the time to think!Number and complexity of optionsPace of changeIncreasing availability of computerized supportInexpensive high-powered computingBetter softwareMore efficient software development processIncreasing usability of computers

Lets get realistic.For your final project ?Fearness :Is it all about algorithm ?Is it hard to do ?Am I capable to do this ?Confusion :I dont have the problemI am very weak at mathProgramming must be difficult

Lets get realistic.IS + DSS = Value added ISIS + DSS = easy to do IS + DSS = should be easy to representIS + DSS = should be fast if you already have the ISIS + DSS = should be easier because you have focus in it

Before we continueThis course :should not teach many algorithmsShould just teach the concept and introductoryShould be resulting good project for your final project proposalShould become the door to open your mind before you graduate

Decision

Decision ?Decision: a reasoned choice among alternativesExamples:Where to advertise a new productWhat stock to buyWhat movie to seeWhere to go for dinner

Decision Making: a process of choosing among alternative courses of action for the purpose of attaining a goal or goals

Decision-Making Process IntelligenceDesignChoiceImplementationReality is examined The problem is identified and definedRepresentative model is constructedThe model is validated and evaluation criteria are setIncludes a proposed solution to the model If reasonable, move on to the implementationSolution to the original problemFailure: Return to the modeling process

Type of Decision

StructuredUnstructuredSemi-Structured

Before we continue..So, is MIS course has already being forgotten ?Do you really think management science is non-sense ?Do you already think that expert system and artificial intelligence is nothing ?Have you already have final project proposal ?

19Information Characteristics

Before we continue.Still remember these terms ?DataInformation

Lets take a break

What you will need.Have you passed :Management Science Linear Algebra Expert SystemArtificial IntelligenceHuman Computer InteractionManagement Information System

What you will needFind a lot of :Problems domainsSolutions feasibilityAlgorithms alternativeBe creative for :Your final projectYour future solution

What you will getIntroduction to DSSDSS architectureDSS modelingDSS implementationSimulation and solutionFinal project as final term

Quizzes Small quiz :Assignments ProposalBig quiz = presentation

Final projectNo group allowedSubmit the proposalPresent your proposalImplement your proposalIf feasible, go on to your final project

Final projectProposal : week 2Revision and finalization : week 3 -5 First presentation : week 6 7Second presentation : 9 10Final demo : 14 - 16

Proposals contentBackgroundPurposesBoundariesSubmit it next week

Before we continue..Please keep in mind, that the course is not about teaching algorithmIts should be your final mandatory course in classSo, its the aggregation of all your knowledge..

taxonomies

Types of DSSuse network and communication technologies to facilitate collaboartion on decision making. It supports more than one person working on a shared taskemphasizes access to and manipulation of a time series of internal company data and, sometimes, external data.uses storage and processing technologies to document retrieval and analysis. It manages, retrieves and manipulates unstructured information in a variety of electronic formatsprovides specialized problem solving expertise stored as facts, rules, procedures, or in similar structures. It suggest or recommend actions to managers.emphasizes access to and manipulation of a statistical, financial, optimization, or simulation model. Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data intensive

IS to support decisionsManagement Information SystemsDecision Support SystemsDecision support providedProvide information about the performance of the organizationProvide information and techniques to analyze specific problemsInformation form and frequencyPeriodic, exception, demand, and push reports and responsesInteractive inquiries and responsesInformation formatPrespecified, fixed formatAd hoc, flexible, and adaptable formatInformation processing methodologyInformation produced by extraction and manipulation of business dataInformation produced by analytical modeling of business data

Before we continue.Still thinking of common MIS ?

summary

What we already learnDSS should be interactive, have ability to make decisions, become more productive, agile and innovativeDSS is the aggregate of your knowledge

What we already learnDecision making process from intelligence to implementationDSS includes analytical, ad hoc, adaptable and modeling before we implement them

Questions / Comments ?

CharacteristicsOperationalManagerialStrategic

AccuracyHighLow

Level of detailDetailedAggregate

Time horizonPresentFuture

UseFrequentInfrequent

SourceInternalExternal

ScopeNarrowWide

NatureQuantitativeQualitative

AgeCurrentCurrent/old