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Intro to AIE Risk/ Return Analysis Process Applied Information Economics: Kickoff for Risk Return Analysis Workshops Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process What is AIE? Applied Information Economics is the practical application of scientific and mathematical methods to quantify the value of ITenabled business investments Economics Operations Research Workshops Modern Portfolio Theory Decision/Game Theory Applied Information Economics Information Engineering Software Metrics Decision Research Hubbard The Applied Information Economics Company Empirical Decision Theory Statistics Information Theory Intro to AIE Risk/ Return Analysis Process Workshops Real Solutions to… • • • • …the economics of information …the economics of IT infrastructure …the economics of risk …the economics of labor reduction when headcount is not reduced • Bottom Line: AIE assesses and prioritizes IT investments based on quantitative and economically rational methods Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops What Do the Critics Say? • “Quantifying the risk and comparing its risk/return with other investments sets AIE apart from other methodologies. It can substantially assist in financially justifying a project -especially projects that promise significant intangible benefits.” The Gartner Group • “AIE represents a rigorous, quantitative approach to improving IT investment decision making…..this investment will return multiples by enabling much better decision making. Giga recommends that IT executives learn more about AIE and begin to adopt its tools and methodologies, especially for large IT projects.” Giga Information Group • “AIE-like methods must become the standard way to make (IT) investment decisions.” Forrester Research, Inc. Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Basic Risk/Return Analysis Organization Procedure 2. Clarify Decision Model 1. Describe & Classify Tools Workshops 3. Make Measurements 4. Conduct VIA 5. Conduct Risk/Return Analysis AIE Deliverables AIE Decision Research Hubbard The Applied Information Economics Company 6. Make Recommendations Intro to AIE Risk/ Return Analysis Process Workshops Describe, Classify & Plan 1. Classify & Plan 2. Clarify Intangibles & CBA 3. Conduct Measurements 4. Conduct VIA 5. Conduct Risk & Return Analysis 6. Make Recommendations • Purpose: Agree on the specific investment to be analyzed, Agree on the specific question to be answered, Plan the rest of the analysis Decision Research Hubbard The Applied Information Economics Company Intro to AIE Clarify The Decision Model Risk/ Return Analysis Process Workshops 1. Describe & Classify 2. Clarify Decision Model • During Clarification we translate the “Intangibles” into measurable units • These are ultimately modeled in a spreadsheet Decision Research Hubbard The Applied Information Economics Company 3. Make Measurements 4. Conduct VIA 5. Conduct Risk/Return Analysis 6. Make Recommendations Intro to AIE Risk/ Return Analysis Process Workshops Understanding Measurement (The Measurement.com approach) • Gilb’s Law “Anything can be measured in a way which is superior to not measuring it at all” • The perceived impossibility of measurement is an illusion caused by not understanding: – the Concept of measurement – the Object of measurement – the Methods of measurement • See my “Everything is Measurable” article in CIO Magazine (got to “articles” link on www.hubbardresearch.com Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops Conduct Measurements 1. Describe & Classify 2. Clarify Decision Model 3. Make Measurements 4. Conduct VIA 5. Conduct Risk/Return Analysis 6. Make Recommendations • We use the variety of measurement methods previously discussed • We usually start with what we know now (i.e. calibrated estimates) • More elaborate measurements (large controlled experiments or surveys) are only taken if we can show they are economically justified Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Calibrated Estimates • • Workshops • Measuring your own uncertainty about a quantity is a general skill that can be taught with a measurable improvement Studies show that most managers are statistically “overconfident” when assessing their own uncertainty Training can “calibrate” people so that when they provide a 90% confidence interval, it still has a 90% chance of being right (even though it is subjective) Decision Research Hubbard The Applied Information Economics Company When asked to provide a subjective 90% confidence interval, most managers provide a range that only has about a 40%-50% chance of being right Perceived 90% Confidence Interval Actual 90% Confidence Interval Intro to AIE Calculate the Value of Information Risk/ Return Analysis Process 1. Describe & Classify • • Workshops • 2. Clarify Decision Model 3. Make Measurements 4. Conduct VIA 5. Conduct Risk/Return Analysis 6. Make Recommendations The value of additional information can be calculated for each uncertain variable in the analysis Measurement efforts will be more productive by focusing on variables that matter the most (results are often surprising) This method is based on the probability of a change in a decision with additional information and the difference in the value of the decision $ Decision Research Hubbard The Applied Information Economics Company $$$ Intro to AIE The Economic Value of Information Risk/ Return Analysis Process The Decision Theory Formula: z z z EVI p(ri ) max V1, j p( j | ri ),V2 , j p( j | ri ),... Vl , j p( j | ri ), EV * i 1 j 1 j 1 j 1 k Workshops What it means: Information reduces uncertainty Reduced uncertainty improves decisions Improved decisions satisfy business objectives (by definition) Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops Conduct Risk/Return Analysis 1. Describe & Classify 2. Clarify Decision Model 3. Make Measurements 4. Conduct VIA 5. Conduct Risk/Return Analysis Administrative Cost Reduction 5% 10% % Improvement in Customer Retention 10% 20% 6. Make Recommendations 15% 30% Total Project Cost $2 million ROI Decision Research Hubbard The Applied Information Economics Company 0% $4 million 50% $6 million 100% Intro to AIE Risk/ Return Analysis Process Make Recommendations 1. Describe & Classify 2. Clarify Decision Model 3. Make Measurements 4. Conduct VIA • The recommendations include: Workshops – To accept or reject the investment – Possible modifications to the proposed investment – Various risk management tactics • Deliverables include – The written report – The spreadsheet – The presentation Decision Research Hubbard The Applied Information Economics Company 5. Conduct Risk/Return Analysis 6. Make Recommendations Intro to AIE Risk/ Return Analysis Process Overview of RRA Analysis Classification Value of Info. Measurements Intangibles 5% “Customer Satisfaction” “Strategic Alignment” “Technology Risk” “Information Quality” etc. 10% $ 15% $$$ 10% 20% 30% $$ Measurables Workshops $2 mill Errors in Decision X Change to Strategic Measure M Productivity in Activity Y Chance of cancellation, etc. Calculate Risk/Return Position 0% Risk $6 mill Organization's investment limit "expected" ROI Probability of a negative ROI -50% $4 mill Probability of a positive ROI 50% 100% 150% Decision Research Hubbard The Applied Information Economics Company 200% 250% Acceptable region of investment Return Intro to AIE Risk/ Return Analysis Process Workshops Workshops • Much of the initial data gathering is from a series of workshops • We need to schedule 5-6 workshops for the following activities: – Define & Classify the investment – Clarify Decision Model – Measurement (initial) • Calibration • Estimation Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops Defining the Investment • What is the objective of this investment? (A onesentence description of why) • What costs are unique to this investment? • What benefits are unique to this investment? • What are the risks of the investment? • What “decision dimensions” are important besides just an accept/reject recommendation? • Is all of the investment optional? • The decision is analyzed on behalf of which investor? Decision Research Hubbard The Applied Information Economics Company Intro to AIE The Concept Of Measurement Risk/ Return Analysis Process Workshops • Sometimes one believes that a thing is “immeasurable” only because they do not actually understand the concept of measurement • The “Measurement Theory” definition of measurement: “A measurement is an observation that results in information (reduction of uncertainty) about a quantity.” • Any “reduction of uncertainty” about a quantity can be of value Decision Research Hubbard The Applied Information Economics Company ? Intro to AIE Risk/ Return Analysis Process Real-world Measurements vs. Ideal Values Ideal Values: Point Real-world Meas. Normal Distribution Uniform Distribution Workshops Lognormal Distribution Hybrid Threshold confidence Decision Research Hubbard The Applied Information Economics Company 15% 85% Intro to AIE Risk/ Return Analysis Process Workshops The Object of Measurement • If a thing seems like and immeasurable “intangible” it may just be ill-defined • Often, if we can define what we mean by a certain “intangible” we find ways to measure it Decision Research Hubbard The Applied Information Economics Company ? Intro to AIE The Clarification Chain Risk/ Return Analysis Process • • Workshops • • AIE assumes that if a benefit or cost is defined unambiguously, then it is measurable. If it is “Better” it is different in some relevant way... If it is relevantly different then it is observable... If it is observable then it is observable in some amount... If we can observe it in some amount then it is measurable. Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops The “Thought Experiment” • Imagine that you are a scientist capable of making clones of entire companies and that you have a cloned pair of your company • Change one of the companies so that one has the stated “intangible” and the other does not • Ask what would you actually observe that would be different between the two companies Decision Research Hubbard The Applied Information Economics Company Intro to AIE Risk/ Return Analysis Process Workshops Examples of Clarification The “Intangible” Possible Meanings After Clarification “Employee Empowerment” • Less management overhead • Certain decisions are more accurate and faster “Information Availability” • Time and cost of searching is reduced • Certain costly errors are less frequent “Customer Relationship” • Increased repeat business • • Tools like “The Clarification Chain” are used to identify unit-ofmeasure variables hidden beneath the “intangible” label I offer a challenge that given any intangible, I can clarify it and identify a method of measurement within 15 minutes (I’ve never lost) Decision Research Hubbard The Applied Information Economics Company