Here are the key financial performance metrics that are commonly used to evaluate projects and make investment decisions:
- Net Present Value (NPV) - The present value of the future net cash flows from an investment minus the cost of the investment. It takes the time value of money into account. A positive NPV means the projected returns from the investment exceed the required rate of return and it should be accepted.
- Internal Rate of Return (IRR) - The discount rate that makes the NPV of all cash flows from a particular project equal to zero. It measures the efficiency or profitability of an investment. The higher the IRR, the more desirable the investment. IRR should be compared to the required rate of return or cost
Quantifying Initiative Value & Prioritizing New Concepts SeminarRobert Brown
Our Advanced Decision Framework reveals why decision-making in business is so difficult and what you can do about it. It focuses on the aspects of human behavior and typical business analysis approaches that render decision-making prone to errors in judgment, unnecessary rework, cost, and lost opportunity. The Advanced Decision Framework provides a guided process by which leaders work collaboratively to overcome those barriers to success.
Traditional business analysis exposes us to unanticipated risk. You need to incorporate uncertainty in business analysis to manage risk in important business decisions.
Day-to-day tactical decisions are relatively easy, but when it comes to big, thorny strategic decisions, there is often great conversation, but limited action. Using a framework, leaders can best organize their efforts.
If you'd like to ensure you have a game plan for addressing multiple possible future states, this white paper will help frame your conversations.
The document discusses how to present a business case and make choices. It outlines a problem-solving model that involves defining the problem and criteria, evaluating alternatives through non-financial and financial analysis, making a choice, and implementing a plan with follow up. The document provides guidance on evaluating alternatives both financially and non-financially. It emphasizes the importance of planning implementation, controlling results through variance analysis, and effectively presenting the business case.
This presentation summarizes key aspects of decision analysis and decision making under uncertainty. It discusses decision criteria like maximax, maximin, and Laplace that can be used when outcomes are uncertain. When probabilities are known, criteria for decision making under risk are used. Sequential decisions can be modeled with decision trees, which represent decisions, chances, and outcomes with nodes and paths. The presentation was given to MBA students on the topic of decision analysis.
Beyond Firefighting: Advanced Techniques in Incident Management
In an advanced organization, the resolution of incidents should be considered already in the service design phase and tested during the service transition phase. What are the techniques that allow you to resolve incidents quickly and within a predictable time-frame?
See Robert's TFT speaker Pinterest board: http://pinterest.com/servicedesk/robert-falkowitz/
The document discusses multi-objective optimization and its use in engineering design problems that involve conflicting objectives. It introduces multi-objective optimization methods that search for a set of non-dominated designs known as the Pareto front, rather than a single optimal solution. This allows engineers to evaluate trade-offs between objectives and select the best overall design. The document also describes three multi-objective optimization methods in Altair HyperStudy: weighted sum, MOGA, and GMMO and demonstrates their use in designing a control arm with conflicting objectives.
Quantifying Initiative Value & Prioritizing New Concepts SeminarRobert Brown
Our Advanced Decision Framework reveals why decision-making in business is so difficult and what you can do about it. It focuses on the aspects of human behavior and typical business analysis approaches that render decision-making prone to errors in judgment, unnecessary rework, cost, and lost opportunity. The Advanced Decision Framework provides a guided process by which leaders work collaboratively to overcome those barriers to success.
Traditional business analysis exposes us to unanticipated risk. You need to incorporate uncertainty in business analysis to manage risk in important business decisions.
Day-to-day tactical decisions are relatively easy, but when it comes to big, thorny strategic decisions, there is often great conversation, but limited action. Using a framework, leaders can best organize their efforts.
If you'd like to ensure you have a game plan for addressing multiple possible future states, this white paper will help frame your conversations.
The document discusses how to present a business case and make choices. It outlines a problem-solving model that involves defining the problem and criteria, evaluating alternatives through non-financial and financial analysis, making a choice, and implementing a plan with follow up. The document provides guidance on evaluating alternatives both financially and non-financially. It emphasizes the importance of planning implementation, controlling results through variance analysis, and effectively presenting the business case.
This presentation summarizes key aspects of decision analysis and decision making under uncertainty. It discusses decision criteria like maximax, maximin, and Laplace that can be used when outcomes are uncertain. When probabilities are known, criteria for decision making under risk are used. Sequential decisions can be modeled with decision trees, which represent decisions, chances, and outcomes with nodes and paths. The presentation was given to MBA students on the topic of decision analysis.
Beyond Firefighting: Advanced Techniques in Incident Management
In an advanced organization, the resolution of incidents should be considered already in the service design phase and tested during the service transition phase. What are the techniques that allow you to resolve incidents quickly and within a predictable time-frame?
See Robert's TFT speaker Pinterest board: http://pinterest.com/servicedesk/robert-falkowitz/
The document discusses multi-objective optimization and its use in engineering design problems that involve conflicting objectives. It introduces multi-objective optimization methods that search for a set of non-dominated designs known as the Pareto front, rather than a single optimal solution. This allows engineers to evaluate trade-offs between objectives and select the best overall design. The document also describes three multi-objective optimization methods in Altair HyperStudy: weighted sum, MOGA, and GMMO and demonstrates their use in designing a control arm with conflicting objectives.
The document introduces hypothesis-driven thinking. It discusses that hypothesis-driven thinking is a way of thinking about the overall framework and conclusions of a problem with limited information and time. Hypothesis-driven thinking is similar to abduction, which forces oneself to think about the possible causes of a problem. It emphasizes building hypotheses first before experiments to verify hypotheses. Seeing the overall picture is important for taking action.
Supporting cognitive adaptability through game design working 100412Shane Gallagher
Adaptability is a metacompetency critically important to the United States Department of Defense and is considered a key component of 21st Century skills by the U.S. Department of Labor and the U.S. Department of Education). Video games are seen as learning environments supporting the acquisition of 21st century skills. Can games, then, be used as components of an effective learning environment that support the development of adaptability?
Initially this paper describes the metacompetency of adaptability. Next is how adaptability can be functionally and discretely measured by focusing on its most granular or micromomentary level which we describe as cognitive adaptability. Finally, the authors examine both the nature of cognitive adaptability, interventions that support its development, and how those interventions might be translated into game design features. Toward this end, the paper will also discuss how these features are exhibited in a popular commercially available video game and how it could be employed to test the hypothesis that a play frame of 12 consecutive hours, using a video game meeting the design criteria and example previously discussed, will increase cognitive adaptability in the players
This document summarizes research analyzing the credit default swap market using Cartesian genetic programming. The researchers evolved computational programs through CGP to model credit default swap pricing more accurately than the standard Duffie model. Experiments evolved different pricing equations in each run but frequently included components of buying price over selling price of bonds. The CGP-evolved models provided more accurate pricing than the Duffie approach according to error rates on test data.
Some Considerations on Contracts ERP Buyer-Seller perspectiveCONFENIS 2012
This document summarizes a research study on ERP contracts between buyer and seller companies. The researchers developed a principal-agent model to diagnose contract decisions and incentivize cooperation. They conducted a survey of 28 IT managers in Brazil to identify key relational factors in contracts, including trust, commitment, communication, and payoff division. The principal-agent model frames the relationship between the ERP buyer company as the principal and the ERP provider company as the agent. The model aims to help companies design ERP contracts that promote cooperation through effective incentives and regulation of these relational factors.
The objective was to develop a neural network model to predict loan defaults using variables like number of derogatory reports, number of delinquent credit lines, debt-to-income ratio, age of oldest credit line, and loan divided by value. The best model had a training profit of $25.48 million and testing profit of $27.48 million, outperforming logistic regression. Key changes were reducing variables and lowering the probability cutoff, which increased profits and lift. The neural network model was simpler, more consistent and predictable than complex models, with training and testing profits varying less than $150,000.
The document outlines the key topics and objectives covered in a textbook on decision making. It discusses defining decisions, different types of decisions, elements of decision situations, the decision-making process including identifying problems, listing alternatives, selecting alternatives, and gathering feedback. It also covers decision-making tools like probability theory and decision trees. Finally, it discusses group decision making, advantages and disadvantages of groups, and processes like brainstorming, nominal group technique, and the Delphi technique.
The challenge of wicked problems in airlines engineering ahmad arafatAhmad Arafat
This document provides an overview of wicked problems in airline engineering and maintenance from Ahmad Arafat's perspective. It introduces Ahmad and his background in airline engineering. It then defines wicked problems and their key properties, such as having no clear solution or definition. The document examines three case studies of wicked problems Lion Air faced: carbon brake oxidation issues, APU ignition exciter issues, and CFM 56-7B fan blade inspections. It analyzes the complexity of these problems and potential solutions. Finally, it emphasizes the need for collaboration and a new way of thinking to address wicked engineering challenges in airlines.
Decision Making: An Essential Leadership Skillshinojos
This document discusses decision making as an essential leadership skill. It outlines various qualities leaders need for effective decision making, including accountability, risk tolerance, and adapting their values to benefit the organization. The document also examines different approaches to decision making, such as viewing it as an ongoing process rather than single events, and using inquiry versus advocacy. It notes obstacles that can arise, like disagreements preventing decisions or groups resorting to "groupthink". Effective leaders must be able to facilitate discussion but also make final decisions. Strategic decision making is emphasized as even more important than strategic planning for driving organizational change.
Managerial decision making involves complex processes with many factors to consider. There are three main models that describe how decisions are made: the classical, administrative, and political models. The classical model involves rational choices based on complete information. The administrative model recognizes limitations in rationality and information. The political model acknowledges conflict and bargaining. Effective decision making follows steps including recognizing the need, analyzing causes, developing alternatives, and evaluating outcomes. Managers must determine the appropriate level of participation based on the situation. New approaches are needed to handle today's turbulent environment.
This document outlines the stages of a structured decision-making model, including identifying the problem, objectives, gathering information, analyzing information, devising alternative solutions, selecting a solution, communicating the solution, implementing it, and evaluating the outcome. It then provides tasks for using this model to analyze problems at a business and create decision models. Finally, it discusses benefits of using the model, such as thorough consideration of options, and costs, such as time required.
Strategic decisions are made by top management, are future-oriented, require significant resources, and have long-term impacts on an organization. They are difficult to define, rarely have a single best solution, and involve trade-offs. Managers use both rational and behavioral models in decision-making. The rational model assumes complete information and logical evaluation of alternatives, while the behavioral model recognizes limitations in information, bounded rationality, satisficing, intuition and escalation of commitment.
This document provides an overview of strategic decision making. It discusses rational models of decision making and their key criteria. It also examines limitations of rational decision making in practice, including individual limitations like bounded rationality and organizational limitations like existing decision processes. Additionally, it outlines a process for strategic risk assessment and considers competitive reactions. A practical model for effective strategic decision making is proposed, and the document concludes by noting decision making often varies in practice.
Managerial decision making involves responding to opportunities and threats by analyzing options and choosing courses of action. There are two types of decisions - programmed decisions which are routine, and non-programmed decisions which are unusual situations with no set rules. The classical model assumes all information is available, but the administrative model recognizes information is often incomplete. Effective decision making involves framing the problem, generating alternatives, evaluating alternatives, choosing an alternative, implementing it, and learning from feedback. Group decision making can reduce biases but risks groupthink; techniques like devil's advocacy and diversity can improve it. Organizational learning and creativity help decision making by challenging assumptions and encouraging new ideas.
The document discusses various aspects of decision making. It defines decision making as choosing one alternative from among options. It describes the decision making process as recognizing the need for a decision, identifying alternatives, choosing the best option, and implementing it. Decision making can occur under certainty, risk, or uncertainty. Rational models of decision making propose a logical, step-by-step process while behavioral models recognize limitations and biases that influence decisions. Political forces, intuition, escalation of commitment, risk tolerance, and ethics also shape organizational decision making.
Intersection18: From a "Simple" App Challenge for Astronauts to an Enterprise...Intersection Conference
How a “simple” app implementation for a client in the Space Industry, helped our team to identify, isolate and rethink the whole procedures and communications our client had. Sometimes we focus on the tree, in this case a space rocket, and we miss the forest... in our case the galaxy. We will go through the tools used for building the app and how they unveiled pain-points and challenges within the organization itself. Sometimes we need to build a tool to explain what major changes should be faced within an enterprise.
This document discusses various techniques that can be used in decision making processes. It begins by defining what a decision is and outlining the typical steps in a decision making process. It then describes several quantitative and qualitative techniques that can be employed at different stages of decision making, including marginal analysis, break even analysis, financial analysis, paired comparison analysis, Pareto analysis, ratio analysis, operation research techniques, nominal group technique, brainstorming, grid analysis, and force field analysis. The document concludes by emphasizing the importance of weighing pros and cons when making decisions and accepting responsibility for the consequences of decisions.
This document outlines steps for effective decision making, including defining the problem, determining requirements, establishing goals, identifying alternatives, selecting a decision making tool, evaluating feedback, and committing to a decision. It distinguishes between programmed and non-programmed decisions, and lists tips for making decisions, such as avoiding snap judgments, visualizing outcomes, and basing choices on objective facts. The overall goal is to guide decision-makers through a transparent process to select the best alternative.
This chapter discusses decision making and problem solving. It outlines five sources of decision complexity for modern managers, three common decision traps, and the differences between programmed and non-programmed decisions. Group decision making is discussed along with tools for improving creativity and problem solving such as overcoming mental locks, using a four step creative process, and fishbone diagrams to identify causes. Knowledge management is presented as a way to improve decision quality through sharing tacit and explicit knowledge.
The document discusses various topics related to decision making including:
- The rational decision making model and its assumptions
- Bounded rationality and satisficing behaviors
- Types of decisions and problems
- Decision making styles and aids
- Group decision making techniques
- The impact of culture on decision making practices
This document discusses various tools and techniques used in project feasibility studies, decision making, and investment analysis. It provides information on:
1) Feasibility studies, which are undertaken early in a project to analyze technical, financial, legal, and risk factors. Cost-benefit analysis tools like net present value and internal rate of return are used to evaluate project feasibility.
2) Project appraisal involves evaluating feasibility studies to determine a project's likelihood of success based on social, technical, economic, financial, and environmental considerations.
3) Decision making in project management requires choosing between options using tools like decision trees, matrices, SWOT analysis, and voting. Cost-benefit analysis compares costs and benefits to aid decision
The document introduces hypothesis-driven thinking. It discusses that hypothesis-driven thinking is a way of thinking about the overall framework and conclusions of a problem with limited information and time. Hypothesis-driven thinking is similar to abduction, which forces oneself to think about the possible causes of a problem. It emphasizes building hypotheses first before experiments to verify hypotheses. Seeing the overall picture is important for taking action.
Supporting cognitive adaptability through game design working 100412Shane Gallagher
Adaptability is a metacompetency critically important to the United States Department of Defense and is considered a key component of 21st Century skills by the U.S. Department of Labor and the U.S. Department of Education). Video games are seen as learning environments supporting the acquisition of 21st century skills. Can games, then, be used as components of an effective learning environment that support the development of adaptability?
Initially this paper describes the metacompetency of adaptability. Next is how adaptability can be functionally and discretely measured by focusing on its most granular or micromomentary level which we describe as cognitive adaptability. Finally, the authors examine both the nature of cognitive adaptability, interventions that support its development, and how those interventions might be translated into game design features. Toward this end, the paper will also discuss how these features are exhibited in a popular commercially available video game and how it could be employed to test the hypothesis that a play frame of 12 consecutive hours, using a video game meeting the design criteria and example previously discussed, will increase cognitive adaptability in the players
This document summarizes research analyzing the credit default swap market using Cartesian genetic programming. The researchers evolved computational programs through CGP to model credit default swap pricing more accurately than the standard Duffie model. Experiments evolved different pricing equations in each run but frequently included components of buying price over selling price of bonds. The CGP-evolved models provided more accurate pricing than the Duffie approach according to error rates on test data.
Some Considerations on Contracts ERP Buyer-Seller perspectiveCONFENIS 2012
This document summarizes a research study on ERP contracts between buyer and seller companies. The researchers developed a principal-agent model to diagnose contract decisions and incentivize cooperation. They conducted a survey of 28 IT managers in Brazil to identify key relational factors in contracts, including trust, commitment, communication, and payoff division. The principal-agent model frames the relationship between the ERP buyer company as the principal and the ERP provider company as the agent. The model aims to help companies design ERP contracts that promote cooperation through effective incentives and regulation of these relational factors.
The objective was to develop a neural network model to predict loan defaults using variables like number of derogatory reports, number of delinquent credit lines, debt-to-income ratio, age of oldest credit line, and loan divided by value. The best model had a training profit of $25.48 million and testing profit of $27.48 million, outperforming logistic regression. Key changes were reducing variables and lowering the probability cutoff, which increased profits and lift. The neural network model was simpler, more consistent and predictable than complex models, with training and testing profits varying less than $150,000.
The document outlines the key topics and objectives covered in a textbook on decision making. It discusses defining decisions, different types of decisions, elements of decision situations, the decision-making process including identifying problems, listing alternatives, selecting alternatives, and gathering feedback. It also covers decision-making tools like probability theory and decision trees. Finally, it discusses group decision making, advantages and disadvantages of groups, and processes like brainstorming, nominal group technique, and the Delphi technique.
The challenge of wicked problems in airlines engineering ahmad arafatAhmad Arafat
This document provides an overview of wicked problems in airline engineering and maintenance from Ahmad Arafat's perspective. It introduces Ahmad and his background in airline engineering. It then defines wicked problems and their key properties, such as having no clear solution or definition. The document examines three case studies of wicked problems Lion Air faced: carbon brake oxidation issues, APU ignition exciter issues, and CFM 56-7B fan blade inspections. It analyzes the complexity of these problems and potential solutions. Finally, it emphasizes the need for collaboration and a new way of thinking to address wicked engineering challenges in airlines.
Decision Making: An Essential Leadership Skillshinojos
This document discusses decision making as an essential leadership skill. It outlines various qualities leaders need for effective decision making, including accountability, risk tolerance, and adapting their values to benefit the organization. The document also examines different approaches to decision making, such as viewing it as an ongoing process rather than single events, and using inquiry versus advocacy. It notes obstacles that can arise, like disagreements preventing decisions or groups resorting to "groupthink". Effective leaders must be able to facilitate discussion but also make final decisions. Strategic decision making is emphasized as even more important than strategic planning for driving organizational change.
Managerial decision making involves complex processes with many factors to consider. There are three main models that describe how decisions are made: the classical, administrative, and political models. The classical model involves rational choices based on complete information. The administrative model recognizes limitations in rationality and information. The political model acknowledges conflict and bargaining. Effective decision making follows steps including recognizing the need, analyzing causes, developing alternatives, and evaluating outcomes. Managers must determine the appropriate level of participation based on the situation. New approaches are needed to handle today's turbulent environment.
This document outlines the stages of a structured decision-making model, including identifying the problem, objectives, gathering information, analyzing information, devising alternative solutions, selecting a solution, communicating the solution, implementing it, and evaluating the outcome. It then provides tasks for using this model to analyze problems at a business and create decision models. Finally, it discusses benefits of using the model, such as thorough consideration of options, and costs, such as time required.
Strategic decisions are made by top management, are future-oriented, require significant resources, and have long-term impacts on an organization. They are difficult to define, rarely have a single best solution, and involve trade-offs. Managers use both rational and behavioral models in decision-making. The rational model assumes complete information and logical evaluation of alternatives, while the behavioral model recognizes limitations in information, bounded rationality, satisficing, intuition and escalation of commitment.
This document provides an overview of strategic decision making. It discusses rational models of decision making and their key criteria. It also examines limitations of rational decision making in practice, including individual limitations like bounded rationality and organizational limitations like existing decision processes. Additionally, it outlines a process for strategic risk assessment and considers competitive reactions. A practical model for effective strategic decision making is proposed, and the document concludes by noting decision making often varies in practice.
Managerial decision making involves responding to opportunities and threats by analyzing options and choosing courses of action. There are two types of decisions - programmed decisions which are routine, and non-programmed decisions which are unusual situations with no set rules. The classical model assumes all information is available, but the administrative model recognizes information is often incomplete. Effective decision making involves framing the problem, generating alternatives, evaluating alternatives, choosing an alternative, implementing it, and learning from feedback. Group decision making can reduce biases but risks groupthink; techniques like devil's advocacy and diversity can improve it. Organizational learning and creativity help decision making by challenging assumptions and encouraging new ideas.
The document discusses various aspects of decision making. It defines decision making as choosing one alternative from among options. It describes the decision making process as recognizing the need for a decision, identifying alternatives, choosing the best option, and implementing it. Decision making can occur under certainty, risk, or uncertainty. Rational models of decision making propose a logical, step-by-step process while behavioral models recognize limitations and biases that influence decisions. Political forces, intuition, escalation of commitment, risk tolerance, and ethics also shape organizational decision making.
Intersection18: From a "Simple" App Challenge for Astronauts to an Enterprise...Intersection Conference
How a “simple” app implementation for a client in the Space Industry, helped our team to identify, isolate and rethink the whole procedures and communications our client had. Sometimes we focus on the tree, in this case a space rocket, and we miss the forest... in our case the galaxy. We will go through the tools used for building the app and how they unveiled pain-points and challenges within the organization itself. Sometimes we need to build a tool to explain what major changes should be faced within an enterprise.
This document discusses various techniques that can be used in decision making processes. It begins by defining what a decision is and outlining the typical steps in a decision making process. It then describes several quantitative and qualitative techniques that can be employed at different stages of decision making, including marginal analysis, break even analysis, financial analysis, paired comparison analysis, Pareto analysis, ratio analysis, operation research techniques, nominal group technique, brainstorming, grid analysis, and force field analysis. The document concludes by emphasizing the importance of weighing pros and cons when making decisions and accepting responsibility for the consequences of decisions.
This document outlines steps for effective decision making, including defining the problem, determining requirements, establishing goals, identifying alternatives, selecting a decision making tool, evaluating feedback, and committing to a decision. It distinguishes between programmed and non-programmed decisions, and lists tips for making decisions, such as avoiding snap judgments, visualizing outcomes, and basing choices on objective facts. The overall goal is to guide decision-makers through a transparent process to select the best alternative.
This chapter discusses decision making and problem solving. It outlines five sources of decision complexity for modern managers, three common decision traps, and the differences between programmed and non-programmed decisions. Group decision making is discussed along with tools for improving creativity and problem solving such as overcoming mental locks, using a four step creative process, and fishbone diagrams to identify causes. Knowledge management is presented as a way to improve decision quality through sharing tacit and explicit knowledge.
The document discusses various topics related to decision making including:
- The rational decision making model and its assumptions
- Bounded rationality and satisficing behaviors
- Types of decisions and problems
- Decision making styles and aids
- Group decision making techniques
- The impact of culture on decision making practices
This document discusses various tools and techniques used in project feasibility studies, decision making, and investment analysis. It provides information on:
1) Feasibility studies, which are undertaken early in a project to analyze technical, financial, legal, and risk factors. Cost-benefit analysis tools like net present value and internal rate of return are used to evaluate project feasibility.
2) Project appraisal involves evaluating feasibility studies to determine a project's likelihood of success based on social, technical, economic, financial, and environmental considerations.
3) Decision making in project management requires choosing between options using tools like decision trees, matrices, SWOT analysis, and voting. Cost-benefit analysis compares costs and benefits to aid decision
The document discusses relationship forecasting and why it is better than traditional budgeting approaches. Some key points:
1) Forecasting focuses on what is likely to happen rather than target-setting, and uses a range to capture uncertainty rather than a single number.
2) Considering best- and worst-case scenarios through a range helps have more honest, meaningful discussions about opportunities and risks.
3) Relationship forecasting emphasizes building trust between parties to improve forecast accuracy, which benefits the overall organization.
4) A variety of statistical tools from simple conversations to more advanced models like Monte Carlo simulations can help quantify probabilities within a forecast range.
The Systems Development Life Cycle Moderate and large firms with uni.pdfarwholesalelors
The Systems Development Life Cycle Moderate and large firms with unique information needs
often develop information systems in-house. That is to say that information technology (IT)
professional within the firm design and program the systems. A greater number of smaller
companies and large firms with relatively standardized information needs opt to purchase
information systems from software vendors. Both approaches represent significant financial and
operational risks. a model for reducing this risk through careful planning, execution, control, and
documentation of key activities.
The five phases of this model are:
1) Business Needs and Strategy
Systems Strategy –Assess Strategic Information Needs –Develop a Strategic Systems Plan
–Create an Action Plan
2) Project Initiation –
Systems Analysis –Conceptualization of Alternative Designs –Systems Evaluation and Selection
3.) In-House Systems Development –Construct the System –Deliver the System
4). Commercial Packages –Trends in Commercial Packages –Choosing a Package
5) Maintenance and Support
The participants in systems development can be classified into three broad groups: systems
professionals, end users, and stakeholders. Systems professionals are systems analysts, systems
designers, and programmers. These individuals actually build the system. They gather facts
about problems with the current system, analyze these facts, and formulate a solution to solve the
problems. The product of their efforts is a new system. End users are those for whom the system
is built. Many users exist at all levels in an organization. These include managers, operations
personnel, accountants, and internal auditors. In some organizations, it is difficult to find
someone who is not a user. During systems development, systems professionals work with the
primary users to obtain an understanding of the users’ problems and a clear statement of their
needs. As defined in Chapter 1, stakeholders are individuals either within or outside the
organization who have an interest in the system but are not end users. These include accountants,
internal auditors, external auditors, and the internal steering committee that oversees systems
development.
Cost/Time Analysis:
As stated before, the cost/time analysis is an attempt to calculate to what degree the project and
system will meet the objectives. The SDLC must address two topics in its support of this area:
the scope of the analysis and the algorithm for doing it. Cost/Benefit Scope The benefit side of
the analysis should be expressed in quantitative terms wherever possible. Qualitative or
intangible benefits usually are reflections of poorly analyzed tangible benefits. The SDLC should
support the process of quantifying all benefits. On the costs side, the SDLC must address
development costs, installation costs and ongoing operational costs. In doing these calculations it
should differentiate between capital costs and expense costs. Cost/Benefit Algorithm The method
of calcu.
Chapter 3 - Creative Problem Solving and Decsion Makingdpd
After studying this chapter, students should be able to explain concepts related to creative problem solving and decision making, including listing the six steps in the decision-making model and describing differences between programmed and nonprogrammed decisions. The document provides frameworks for classifying problems, setting objectives and criteria, generating alternatives, and analyzing options. It also discusses techniques like brainstorming, cost-benefit analysis, and participative decision models.
This document discusses various market analysis tools used in new product development (NPD). It describes tools for idea generation, product optimization, marketing mix optimization, and market prediction. Specific tools covered include brainstorming, the Delphi technique, focus groups, user observation, conjoint analysis, concept testing, prototyping, and diffusion models. The document provides details on how each tool is used, its process, advantages, and disadvantages to help product developers select the right tools for analyzing markets and predicting new product success.
This document discusses decision-making and realizing goals through screening added value initiatives. It introduces the SAVI model for evaluating initiatives and outlines the components of a business case analysis for decision making. Key steps in the process include properly defining the problem, identifying goals and criteria, evaluating alternatives through financial and non-financial analysis, and selecting an option to implement along with follow up. The overall framework aims to systematically evaluate initiatives against strategic goals to identify the best solution.
SAFEASSIGNCHECKTEST - CSU SAFEASSIGN PLAGIARISM CHECK TOOL
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mba 6941 unit VIII reflection Paper.doc
Running Head: THE PROJECT CLOSURE PHASE 1 THE PROJECT CLOSURE PHASE
2
The Project Closure Phase William Fiedler Columbia Southern University The Project Closure Phase Inside this paperwork, I am going to make a discussion regarding the closing project. I will also extend to discussing the lesson learned towards the end of the project. 1 THE FOURTH AND LAST PROJECT LIFECYCLE STAGE IS THE PROJECT CLOSURE PHASE. IT IS IN THIS STAGE THAT YOU WILL BE ABLE TO YOUR PROJECT FORMALLY CLOSES AFTER THE REPORT SUCCESS LEVEL OF THE SPONSOR YOU HAVE. The exercises that are needed in closing the task in brought in to be by the Project Closure Report and this guarantees the project a conclusion that is embraced productively and comfortably. Once the report is brought into action and acknowledged by the individuals, the reports of the completion of the inside exercises indicated are attempted (Larson, 2014). As a result, the project closure comes into effect formally. 1 AFTER THE CLOSING OF THE TASK IN A PERIOD OF AT LEAST ONE TO THREE MONTHS, THE BUSINESS IS BELIEVED TO START GAINING THE ADVANTAGES GIVEN BY THE PROJECT WHICH MAKE IT MORE ESSENTIAL TO ALLUDE THE POST IMPLEMENTATION REVIEW (PIR) EVALUATION. This provides the business with a wide range of view towards recognizing its achievements level of different tasks as well as offer the education on the future projects that will arise.
2 PROCESS FOR CLOSING THE PROJECT THE PROJECT TRANSITION TASK CONTROL DOCUMENT WILL RECORD THE VICTORIES AND DISAPPOINTMENTS OF THE TASK. It gives a chronicled record of the orchestrated and unique spending plan and schedule, proposals for future endeavors of practically identical size and unpredictability, information on staffing and aptitudes used to meet errand targets and destinations, how the client wants were managed, exercises learned, and an official undertaking close down. One reason for the conclusion understanding system is to offer the sellers a formal warning to the structures that may have been created which has a high expectation that is elegant and commendable or that may have been rejected as a result. If the business does not meet its goals, it ought to make the amendment that hinders them from this achievement, and the individual or the dealer responsible for this should try to fix or eradicate any errors that may have caused it with a formal affirmation (Larson, 2014).
Before the closure of the agreement, all the minor things are fixed, and the competed expectation is to strike the depressed. Over rages of errands, the world has audited quality performance, and the vendor was allowed to influence chan.
Identifying a project in trouble and re-planningmfarbstein
This document discusses identifying and re-planning troubled projects. It provides tips for determining when a project is in trouble based on variances from the triple constraints of time, cost, and scope. It also outlines steps for re-planning a project, including revising the work breakdown structure, schedule, budget, and earned value management metrics. Key indicators of troubled projects include missed deadlines, quality issues, low morale, and unresolved risks or issues.
The document outlines an agenda for a meeting that will last 90 minutes total. It includes introductions, an icebreaker activity, a PowerPoint presentation, a question and answer session, two breakout group sessions with subsequent discussions, and closing remarks. The breakout sessions will each last 20 minutes with 15 minutes allotted for discussing the results. The agenda is intended to help structure a productive meeting with a variety of activities while still leaving some time for discussion.
Achieving Success with Your Cloud ERP ImplementationCasey Cramer
Moving Enterprise Applications to the cloud is a common theme in higher education these days and many organizations already have multiple applications in the cloud environment. But moving large parts of your ERP to the cloud presents new and unique challenges, risks and opportunities. Check out this presentation deck that was presented at a Higher Education User Group (HEUG) regional conference to learn how we have helped higher education leaders through the process of moving to the cloud.
- The document discusses the use and benefits of earned value management (EVM) for project management.
- EVM provides an early warning system to identify potential cost overruns or delays before they become problems. It helps determine a project's true health and likelihood of completing on time and on budget.
- Without EVM, it can be difficult to assess a project's status based solely on budget versus actual costs or a project being ahead or behind schedule. EVM provides a more comprehensive view of project performance.
FiBAN's business angel training "Business Angel Returns" by Robert Wiltbank -...FiBAN
Presention shared by Dr. Robert Wiltbank at FiBAN's business angel training in Helsinki, 3rd of November.
All the presentations and videos are gathered here: https://www.fiban.org/robertwiltbank
Presentations given:
1. Comparison of Finnish and US angel activity
https://www.youtube.com/watch?v=UKdmr...
- Slides:
2. Angel Returns: https://www.youtube.com/watch?v=juuAK...
- Slides:
3. Effective business angel strategies: https://www.youtube.com/watch?v=TsZQd...
- Slides:
4. Effectuation in Venture investing - Do experts make decisions differently?: https://www.youtube.com/watch?v=miWap...
- Slides
For additional details and questions: https://www.fiban.org/robertwiltbank
IB Business and Management (Standard Level)
All material taken from the IB Business and Management Textbook:
"Business and Management", Paul Hoang, IBID Press, Victoria, 2007
Similar to Designing Alternate Solutions: How to Find Solutions That Meet Your Requirements (20)
5. Improving Solution Coverage
Merge solutions to Develop pros
address multiple and cons of
problems/symptoms each solution
Tweak the selected
solutions
2 to improve them
8. Decision Analysis Defined
“Decision analysis is an approach to
decision-making that examines and
models the possible consequences of
different decisions. Decision analysis
assists in making an optimal decision
under conditions of uncertainty. ”
9. Decision Analysis Defined
“Decision analysis (DA) is the discipline comprising
the philosophy, theory, methodology, and professional practice
necessary to address important decisions in a formal manner.
Decision analysis includes many procedures, methods, and tools for
identifying, clearly representing, and formally assessing important
aspects of a decision, for prescribing a recommended course of action
by applying the maximum expected utility action axiom to a well-
formed representation of the decision, and for translating the formal
representation of a decision and its corresponding recommendation
into insight for the decision maker and other stakeholders.”
10. Decision Analysis Defined
“Decision analysis is
an excuse for making
the right decision.
”
0
5.05_3#3v7.0
11. Decision-making Approaches
Consultative Democratic Consensus
Directive
RISKS RISKS RISKS RISKS
Requires Only decision- Win-lose Time required
absolute maker Minority Facilitation skills
authority accountable disenfranchised Potential for
Fosters Fosters “Yes- Active resistance gridlock
dependence man” mentality
RECOMMENDED USES RECOMMENDED USES
RECOMMENDED USES RECOMMENDED USES
Large groups Individual
Emergency Deadline driven commitment
situations Individual
Potential for commitment required
Need for speed stalemate irrelevant Buy-in essential
Need for secrecy Highly
interdependent
group
12. Exercise: What Are You?
For decision analysis to succeed, the decision
must be clearly articulated and known by all
decision-makers.
Create a decision statement for the Blue
Pacific Airways project.
13. Decision Analysis Toolkit
Decision Tables / Trees
Grid Analysis
Pareto Analysis
Cost/Benefit Analysis
ROI Analysis
Weighted Tables
Weighted Multi Voting
Delphi Technique (Expert Opinions)
Force Field Analysis
SWOT Analysis
Paired Comparison Analysis
Fishbone Analysis (Ishikawa diagrams)
14. Decision Trees
Consider these
statements: Do Action X
If A and C are true, do X; T
but if C is false, do Y. C F
If A is false, check B. Do Action Y
If B is true, do Z. T
A F T Do Action Z
B
F
??
15. Exercise: Decision Tables
Fill in the rules part of the table on the next page.
This real business rule defines the actions that can occur with
respect to a loan application.
The loan decision depends on the following:
If the current debt load plus the request is greater than 4 times their
gross income, then deny the loan unless their credit is excellent and they
have been on the same job for over 5 years. If this is the case, approve
the loan but request a co-signer. If the total new debt is less than 4 times
their gross income, and their credit is excellent or good, approve the
loan. If they only have good credit and have been in their current job
less than 5 years, approve with a co-signer. Otherwise, deny the loan.
16. Worksheet: Decision Tables
Decision Conditions
Debt + Req < 4 * Income T T T T T T T T F F F F F F F F
CR = Excellent T T T T F F F F T T T T F F F F
CR = Good T T F F T T F F T T F F T T F F
Same Job 5 years T F T F T F T F T F T F T F T F
Actions Rules
Deny Loan
Approve Loan
Co-signer Required
17. Force Field Analysis
Strength Strength
100 Force 1 Force 4 15
3 Force 2
50 Force 3
Factors supporting the change Factors opposing the change
18. Paired Comparison Analysis
Identify a set of criteria that distinguish the solutions.
Weight the criteria by their relative importance.
Create a matrix listing potential solutions
as rows and criteria as columns.
Select a group of participants with the knowledge and authority to
make decisions and assign each participant a vote (potentially
weighted).
For each criteria, compare each solution with each other solution and
allow the group to select the better of these two (ignoring all other
options).
19. Paired Comparison Analysis
Example
Cost Short1 Long2
(5) (3) (1)
Solution 1
Solution 2
Solution 3
Solution 4
Solution 5
Solution 6
1Short = Benefits that will be realized within 3 months of implementation
2Long = Long-term benefits
20. Symptoms of Solved Problems
Are Benefits
P. People who use the Eisenhower Tunnel forget to turn
off their lights.
S. The cops and other officials are wasting their time
helping tourists get their car started.
S. Tourists are upset because their car won’t start.
S. A lot of cars in the parking lot have their lights on.
Problems and Symptoms are starting points for Cost/Benefit analysis.
Additional benefits need to be brainstormed.
22. Categories of Benefits
(touchy-feely stuff, right-brain focus)
External
(Corporate image,
brand awareness, etc.)
Without emotions, no decision is possible.
Internal
(employee satisfaction,
future potential, etc.)
23. Exercise: Vision Statement
BP Air would like to expand its customer service from traditional phone and in-person to
create a customer web site. This expansion would allow customers to manage aspects of
their travel from reserving a flight to baggage retrieval at their final destination. As a plus
service, we would like to help our customers book lodging and ground transportation from
our secure internet site. book flights; make changes to existing flights, check-in and print
boarding passes.
Our expectations are that this project will:
• Lower Customer Service inbound calls (or at least shorten the calls)
• Increase customer Check-in efficiency
• Improve overall customer satisfaction
• Reduce the current cost of Reservations sales
• Increase Customer Retention by making it easy for customers to sign up for our
rewards program online
This project will encompass all work related to developing and provisioning the online
reservation “booking” system for BP customers. However, it cannot involve any
modifications or updates to the current airline database system. Also, it must interact with
the database modernization project team to ensure compatibility.
Finance wants immediate full payment (or at least a 20% deposit) for flights booked online
0
that accounts for all applicable taxes and service charges imposed by government,
governmental agencies, airports, etc.
5.05_2#4v7.0
24. Exercise: Blue Pacific Airways
Project Benefits
Working in groups, identify benefits to
justify the project on the opposite page.
Divide your list of benefits into
“Tangible” and “Intangible” benefits.
1
5.05_2#5v7.0
26. The SWAG Estimate
Don’t laugh. The tatistical ild natomical uess can provide
excellent early project estimates.
A team member with relevant experience
Two estimates, based on similar projects
Step 1. Understand the project
Step 2. Make a Lowest feasible estimate
Step 3. Make a Highest reasonable estimate
Step 4. Document your assumptions
SWAG’ing without relevant experience or understanding of the project.
29. Net Cash Flow Example
Years 0 1 2 3 4 5
Revenue $0 $0 $2m $5m $9m $13m $29m
Cost ($9m) ($3m) ($.5m) ($.4m) ($.3m) ($.3m) ($13.5m
)
Net Cash ($9m) ($3m) $1.5m $4.6m $8.7m $12.7m $15.5m
Flow
5.05_2#10v7.0
30. Simple Return on Investment
(ROI)
Years 0 1 2 3 4 5
Revenue $0 $0 $2m $5m $9m $13m $29m
Cost ($9m) ($3m) ($.5m) ($.4m) ($.3m) ($.3m) ($13.5m
)
Net Cash ($9m) ($3m) $1.5m $4.6m $8.7m $12.7m $15.5m
Flow
The simple ROI is the ratio of net cash flow divided by the
initial investment. What is the simple ROI for this project?
5.05_2#11v7.0
31. Simple Payback Calculation
Years 0 1 2 3 4 5
Revenue $0 $0 $2m $5m $9m $13m $29m
Cost ($9m) ($3m) ($.5m) ($.4m) ($.3m) ($.3m) ($13.5m)
Net Cash ($9m) ($3m) $1.5m $4.6m $8.7m $12.7m $15.5m
Flow
The simple payback (aka: break-even point) is the period of
time required to recover the original investment. What is the
simple payback for this project?
It is not enough to know how much the project will cost. You also need to predict the future.Capital Expenditure: The price tag for the projectOperating Expense: Living with the solutionCurrent and future value of each tangible benefit
It is not enough to know how much the project will cost. You also need to consider future costs.
Used to compare the financial impact of 2 or more options and against the company’s Internal Hurdle RateThe option with a higher IRR is preferred and projects should be undertaken if the IRR exceeds the Hurdle Rate
Break-Even Point : point in time when the initial investment is recovered (Simple Payback or Discounted Payback)Discount Rate : potential earnings invested elsewhere or interest to pay on credit)EVA : Net Operating Profit after Taxes less the opportunity cost of capital.IRR : Compares the financial impact of 2 or more options against the company’s Internal Hurdle Rate. The option with a higher IRR is preferred and projects should be undertaken if the IRR exceeds the Hurdle Rate.