Systems Development Life Cycle (SDLC)
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Process of determining how an information system can support business
needs, designing the system, building it, and delivering it to users
Key person: Systems Analyst
Business process projects
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improve a component within a business process
,Business risks
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financial risks
time risks
people risks
resource risks
business cultural risks
sustainment risks
Waterfall Management Methodology
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-moves from phase to phase (you cant go back)
-you WONT have a prototype until the testing phase
-good for SHORT term
Steps:
1.Analysis
2. Design
3. Implementation
4. Testing
5. Deployment
6. Release & Maintenance
Strengths:
-requirements are identified and verified before deployment
-easier to budget (bc requirements are all set)
Weaknesses:
-Visible product isn't seen until the end
-requirement changes cant be implemented cheaply
-client interaction and feedback are not emphasized
, -good for SHORT TERM projects where requirements are not likely to
change
Quantification Results
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Analyze the data
Does the TO-BE process result in:
-improved revenue
-reduced expenses
-improved net income
Data Model
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-a formal way of representing the data thats created and imputed by the
users & output delivered by the system (such as a report)
-logical data model: shows data without indicating how its stored, created,
or manipulated
-physical data model: shows how the data will be stored in databases or
files
data models can be shown using ERD's or flow charts
SDLC (PADI)
Give this one a try later!
Give this one a try later!
Process of determining how an information system can support business
needs, designing the system, building it, and delivering it to users
Key person: Systems Analyst
Business process projects
Give this one a try later!
improve a component within a business process
,Business risks
Give this one a try later!
financial risks
time risks
people risks
resource risks
business cultural risks
sustainment risks
Waterfall Management Methodology
Give this one a try later!
-moves from phase to phase (you cant go back)
-you WONT have a prototype until the testing phase
-good for SHORT term
Steps:
1.Analysis
2. Design
3. Implementation
4. Testing
5. Deployment
6. Release & Maintenance
Strengths:
-requirements are identified and verified before deployment
-easier to budget (bc requirements are all set)
Weaknesses:
-Visible product isn't seen until the end
-requirement changes cant be implemented cheaply
-client interaction and feedback are not emphasized
, -good for SHORT TERM projects where requirements are not likely to
change
Quantification Results
Give this one a try later!
Analyze the data
Does the TO-BE process result in:
-improved revenue
-reduced expenses
-improved net income
Data Model
Give this one a try later!
-a formal way of representing the data thats created and imputed by the
users & output delivered by the system (such as a report)
-logical data model: shows data without indicating how its stored, created,
or manipulated
-physical data model: shows how the data will be stored in databases or
files
data models can be shown using ERD's or flow charts
SDLC (PADI)
Give this one a try later!
