Cost-Benefit Analysis Techniques

Overall Equipment Effectiveness (OEE) is a metric used to measure how well manufacturing equipment is performing. It evaluates the effectiveness of equipment based on three key factors: Availability, Performance, and Quality. 1. Availability Availability measures how often the equipment is running compared to how often it is supposed to be running. It reflects the percentage of planned production time during which the equipment was actually available for use. Losses in availability can happen due to: Failure loss: When the equipment breaks down and stops working. Setup and adjustment loss: Time spent setting up or adjusting the equipment before it can start production. Tool change loss: Time taken to change tools or other components required for production. Startup loss: The time spent getting the equipment to full production speed after being started up. 2. Performance Performance measures how quickly the equipment is running compared to its maximum speed. Even if the equipment is available and running, it may not always run at its full potential speed. Performance losses can happen due to: Minor stoppage loss: Small interruptions or pauses, such as material jams or brief maintenance activities. Speed loss: When the equipment runs slower than its optimal speed, reducing the number of units produced per unit of time. 3. Quality Quality measures how many of the products produced meet the required quality standards. The focus is on the proportion of defect-free products compared to total products made. Quality losses occur due to: Defect and rework loss: When products are made that do not meet the quality standards and need to be scrapped or reworked. Once you have calculated Availability, Performance, and Quality, you can combine them to determine the overall effectiveness of the equipment. Formula for OEE: OEE = Availability × Performance × Quality Multiply these percentages together to get the overall effectiveness of the equipment.

Stop guessing your growth path. Map it instead with the Lean Canvas model. Last year a client was losing cash after a bad investment. Their Board wanted a clear plan, but management's ideas were scattered. Pressure rose as their cash runway shrank. I used a blank Lean Canvas and met with management. Box by box, we turned fuzzy thoughts into clear statements. In a few hours, the team could see the whole business on one page. A week later, decisions sped up, waste was cut, and revenue began increasing. The Board praised the new focus because just one sheet had replaced weeks of endless slides. 1. Start with the Problem box because pain fuels purchase: ⇀ List the top three headaches your market hates. ⇀ Ask customers for blunt complaints. ⇀ Rank pains by urgency and frequency.  ⇀ If the pain is weak, the plan is weak. 2. Name the Customer Segments who wake up with that pain: ⇀ Avoid lumping everyone together - be precise. ⇀ Describe one real person, not a demographic blur. ⇀ Note where they already search for help. ⇀ Specific faces drive focused solutions. 3. Your Unique Value Proposition attracts attention: ⇀ Write it like a headline your customer would repeat. ⇀ Highlight the biggest outcome, not features. ⇀ Short, clear value wins the click. ⇀ Keep it under ten words. 4. Now sketch your Solution: ⇀ Draft three bare-bones features solving each top pain. ⇀ Mockup screens or sketches quickly. ⇀ Show them to five prospects tomorrow. ⇀ Speed beats perfection in early design. 5. Channels tell you how messages travel to wallets: ⇀ Pick the two cheapest tests before buying ads. ⇀ Leverage existing communities and email lists. ⇀ Measure response time and cost per lead. ⇀ Cheap learning outruns expensive guessing. 6. Revenue Streams prove the idea can feed itself: ⇀ State exactly who pays, how much, and how often. ⇀ Compare price to the pain’s current cost. ⇀ Pilot a single pricing tier first. ⇀ Real cash beats hypothetical guesses. 7. Analyse Cost Structure for sustainability: ⇀ List the three largest costs and make them variable. ⇀ Negotiate monthly, not annual, contracts. ⇀ Lean costs preserve runway for learning. ⇀ Automate before hiring. 8. Key Metrics keep founders honest on progress: ⇀ Choose one north-star metric and two support numbers. ⇀ Link each metric to habit or revenue. ⇀ Track weekly in one simple dashboard. ⇀ What gets graphed gets fixed faster. 9. Finally, name your Unfair Advantage: ⇀ This is the asset rivals can’t match. ⇀ Lean on unique data, patents, or proven community. ⇀ Document founder expertise that speed cannot buy. ⇀ Without moats, margins leak. 10. Don't forget to summarise your high-level concept and identify early adopters too. Review our lean canvas model weekly to stay on track with your strategy. What's your favourite strategic model? ------- ♻️ Repost to help others in your network. Follow Jonathan Maharaj FCPA for more insights on accounting, finance and leadership.

"Anders, it's time to share budget assumptions so we can run a smoother process this year," my manager said. It was mid-May and the process ended in November. This was 15 years ago, and I was entering my first real budget process. Fifteen years later, I still hear the same story. The average time spent is 8 weeks, and many companies spend considerably longer. 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗱𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗯𝘂𝗱𝗴𝗲𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗺𝗮𝗶𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: • 45% of companies say their budget is outdated within 3 months of approval    • 67% of finance leaders cite lack of budget accountability as a top planning challenge    • Companies are 2X more likely to hit their targets by using rolling forecasts instead of annual planning only The main problem is that budgets and targets are not tied to the strategy. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗶𝘀𝘀𝘂𝗲 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀: Budgets drive the plan Targets are set in isolation The numbers are treated as a Finance exercise It's clear we need a different approach to planning. Some say go Beyond Budgeting Others simply drop the budget Neither is likely a winning approach 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘄𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝗱𝗼 𝗶𝗻𝘀𝘁𝗲𝗮𝗱: 1. Make a strategy with distinct choices about where to play and how to win     2. Translate the strategy into specific initiatives with clear targets and specified resource allocation     3. Build a driver-based planning model where each driver links to the strategic initiatives     4. Cover long-term planning, annual planning, and rolling forecasts in one connected model     5. Run your performance management model with a forward-looking view to close gaps between forecasts and targets You don't need to ditch the budget to run a successful planning process. It just shouldn't be your central planning model. Your driver-based model is. Do you think this approach will work for your company?

If your value prop needs three slides to explain and there's no proof, it’s not ready to pitch to a payer. --- Too many healthcare startups pitch modeled savings, indirect metrics, and assumptions on behavior change. #Payers want something simpler: - A defined population - A clear baseline - A measurable, auditable outcome --- If your ROI depends on long-term projections or vague assumptions, it's unlikely there will even be an initial #sales discussion. The best #startups win by keeping it succinct: - Align to costs that matter to the payer - Show short- to medium-term impact - Make the math easy to verify --- Can a medical director explain your value in one sentence? Can you prove that value in your model? If not, it may be time to rethink the model.

The Problem: Is your DCF model failing in today's volatile markets? The Data: - A mere 1% interest rate shift can swing valuations by 20-40%. - 60-80% of a DCF's valuation comes from the terminal value—essentially a distant-future guess. - Macro shocks make 5-10 year cash flow projections highly speculative. The Solution: - Stress-Test: Stop relying on single-point estimates and run wide Bull/Base/Bear scenarios. - Triangulate: Cross-check your outputs using comparable multiples (EV/EBITDA, P/E) and precedent M&A deals. - Reverse Engineer: Use a "Reverse DCF" to determine what growth is already priced into the asset. The Bottom Line: Don't abandon the DCF. Use it to force structured thinking. Need a second set of eyes on your assumptions? Connect with the team at Crispidea for professional valuation and forecasting services tailored to turbulent markets. #FinancialModeling #DCF #Valuation #CorporateFinance

The Future of App Measurement: How MMM Drives Growth and Optimizes Budgets  As privacy regulations tighten, traditional methods of marketing measurement are becoming less effective, creating a need for more robust solutions. **Marketing Mix Modeling (MMM)** offers a comprehensive approach to understanding how marketing spend drives business outcomes, providing the insights necessary for growth and budget optimization. The Shift in Marketing Measurement Recent privacy regulations, such as Apple’s App Tracking Transparency (ATT) and GDPR, have limited data collection and hindered traditional attribution models. These models, which rely on user-level tracking, are no longer sufficient in today’s privacy-conscious landscape. As a result, businesses need to explore new methods for measuring marketing effectiveness, and **MMM** is quickly emerging as the solution. Marketing Mix Modeling is a statistical method that aggregates data from various sources, such as sales data, marketing activities, public competitor information, and macroeconomic factors like seasonality. By using MMM, app businesses can gain a comprehensive view of how their marketing spend and activities drive sales and optimize budgets for sustainable growth. Why MMM Is Essential for App Businesses MMM provides three key advantages for app businesses: 1. Sustainable, Privacy-Centric Measurement Unlike traditional attribution models that rely on individual-level data, MMM uses aggregated data like advertising impressions, spend, and industry trends. This approach is immune to privacy regulations, ensuring that businesses have reliable and future-proof data for measuring marketing performance. As privacy concerns grow, MMM offers a sustainable method for tracking and optimizing marketing efforts. 2. A Holistic View for Informed Decisions MMM evaluates all factors that influence revenue, including media spend, product updates, seasonality, and even competitor activity. This comprehensive approach provides a clear understanding of what drives user acquisition and engagement, enabling businesses to make well-informed, data-driven decisions about where to focus their marketing efforts. 3. Data-Driven Budget Optimization MMM doesn’t just provide performance data; it also offers recommendations for optimizing marketing budgets. By analyzing the effectiveness of various marketing activities, MMM helps businesses allocate resources more efficiently to maximize ROI. This enables companies to reduce wasted spend and ensure that every marketing dollar is contributing to growth. Real-World Examples: How MMM Drives Growth Aloha Factory, a Korean gaming developer, used MMM to adapt its marketing strategy to privacy changes and optimize its growth. By analyzing media impressions and contextual factors like weather and COVID-19, the company found that 37% of its app installs came from Google App campaigns—much higher than the 13% predicted by last-touch attribution. With this insight.

If you are preparing for careers in Investment Banking, Valuations, Corporate Finance or Equity Research, one question you can’t escape in interviews is: “How do you value a company?” The most popular method - DCF (Discounted Cash Flow).  Let’s simplify it step by step. How to Value a Company Using DCF (Discounted Cash Flow) 👉 Step 1: Forecast Free Cash Flows (FCF) Think of FCF as the cash left after all expenses, taxes, and investments – the amount available to both debt and equity holders. Formula: FCF = EBIT(1 - Tax) + Depreciation - Capex - ΔWorking Capital Usually projected for 5-10 years. The more realistic your assumptions, the better your valuation. 👉 Step 2: Calculate Terminal Value (TV) Since companies don’t stop after 10 years, we need to capture the value beyond projections. Two approaches: Perpetuity Growth Method: TV = FCF (n+1) / (WACC - g) (g is long-term growth rate, usually linked to GDP growth or inflation.) Exit Multiple Method: Apply an EV/EBITDA multiple to the last projected EBITDA. 👉 Step 3: Discount to Present Value Now, bring future cash flows back to today. Formula: DCF Value = Σ [FCFt / (1+WACC)^t] + TV / (1+WACC)^n Here, WACC = Weighted Average Cost of Capital, the blended return expected by both debt and equity investors. 👉 Step 4: Get Enterprise Value & Equity Value DCF gives Enterprise Value (EV). Equity Value = EV - Net Debt (Debt - Cash). Divide by number of shares - Intrinsic Value per Share. 👉 How to Interpret If DCF Value > Current Market Price - Stock looks undervalued. If DCF Value < Current Market Price - Stock looks overvalued. 👉 Common Mistakes to Avoid Overestimating growth and underestimating risk. Using an unrealistic discount rate. Ignoring working capital changes. Blindly applying exit multiples without industry context. ✅ That’s DCF in a nutshell. If you can explain this in clear, simple words, you’ll impress any interviewer. 👉 Like if this made DCF easier for you. 👉 Comment your doubts or interview tips on valuation. 👉 Repost to help your friends preparing for finance roles. 👉 Follow Yogesh Jangid for more such insights on #finance #business #investing & #markets #CorporateFinance #InvestmentBanking #Valuation #FinancialModeling

📈 THE ONE MODEL EVERY LONG-TERM INVESTOR SHOULD KNOW In an environment where forecasting equity returns is both art and science, the Grinold-Kroner model stands out as a practical, conceptually elegant tool for long-term investors. At its core, the model decomposes expected equity returns into intuitive components: Expected Return ≈ Dividend Yield + Earnings Growth + Repricing (ΔP/E) – Change in Shares Outstanding This framework reminds us that returns don’t emerge from thin air - they are grounded in fundamentals: income, growth, and valuation. ✅ Why it matters: It provides a structured approach to forecast returns over the long run. It forces investors to disaggregate drivers - helping clarify assumptions and test sensitivities. It highlights the importance of valuation levels, reminding us that multiple expansion can’t sustain returns indefinitely. In today’s high-valuation, uncertain-growth environment, using models like Grinold-Kroner can bring much-needed discipline and realism to capital market expectations. Whether you're managing a pension portfolio, building an asset allocation model, or advising clients, this model offers a valuable lens. 🔍 Key insight: While no model predicts the future perfectly, frameworks like this help us ask better questions and make more grounded decisions. #Investing #GrinoldKroner 

𝗜𝗱𝗲𝗮 #𝟭𝟲: 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿: 𝘁𝗵𝗲 𝗯𝗲𝗮𝘂𝘁𝘆 𝗼𝗳 𝘀𝗽𝗶𝗹𝗹 𝗮𝗻𝗱 𝘀𝗽𝗼𝗶𝗹 I worked with a hotel chain that was focused on two high-level KPIs: 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝗿𝗼𝗼𝗺 𝗿𝗮𝘁𝗲 (𝗔𝗥𝗥) and 𝗼𝗰𝗰𝘂𝗽𝗮𝗻𝗰𝘆 (%).  Occupancy was around 80% and had increased year on year but this aggregate average was hiding significant opportunities. When we de-averaged the overall occupancy by hotel and night, we discovered that very few hotels were 80% full: most were either completely full or only half full.  We reframed performance using two “failure metrics” (see illustration): • 𝗦𝗽𝗼𝗶𝗹: measured empty rooms (by hotel, by night). • 𝗦𝗽𝗶𝗹𝗹: measured “lost trading days” when a hotel reached full occupancy too early. By analysing 𝘀𝗽𝗶𝗹𝗹 𝗮𝗻𝗱 𝘀𝗽𝗼𝗶𝗹 𝗮𝘁 𝗮 𝘀𝗶𝘁𝗲-𝗻𝗶𝗴𝗵𝘁 𝗹𝗲𝘃𝗲𝗹, we uncovered significant value: • Spoil caused by pricing too high or insufficient marketing.   • Spill caused by pricing too low or overmarketing.   𝗦𝗽𝗼𝗶𝗹 𝗶𝘀 𝗮 𝗳𝗮𝗰𝘁. 𝗦𝗽𝗶𝗹𝗹 𝗶𝘀 𝗮 𝗺𝗼𝗱𝗲𝗹. One measures what you wasted; the other estimates what you missed.   The principle applies to almost any decision made under uncertainty: where there’s finite capacity and variable demand, there’s always a 𝘀𝗽𝗶𝗹𝗹-𝘀𝗽𝗼𝗶𝗹 𝘁𝗿𝗮𝗱𝗲-𝗼𝗳𝗳.  I’ve applied this framework across a diverse range of businesses: • 𝗖𝗮𝗹𝗹 𝗰𝗲𝗻𝘁𝗿𝗲𝘀: spill = calls with no agents (missed sales); spoil = agents with no calls (wasted labour). • 𝗥𝗲𝘀𝘁𝗮𝘂𝗿𝗮𝗻𝘁𝘀: spill = understaffed hours (poor service); spoil = overstaffed hours (low productivity). • 𝗦𝘂𝗽𝗲𝗿𝗺𝗮𝗿𝗸𝗲𝘁𝘀: spill = missed sales (poor availability); spoil = waste (over-stocking). Every business wrestles with these two-sided costs – the 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗲𝘅𝗰𝗲𝘀𝘀 and the 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗺𝗶𝘀𝘀𝗲𝗱 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆.  Once you measure both, you can manage the balance intelligently.  The best metrics don’t just describe performance – they expose 𝘧𝘢𝘪𝘭𝘶𝘳𝘦 𝘮𝘰𝘥𝘦𝘴 that can actually be fixed. Key takeaways: • Analyse at the most atomic level that could be actionable (hour, site-night, SKU-store, agent, keyword etc.) • Define the acceptable 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 for that atomic outcome.  • Systematically analyse the distribution of performance outside guardrails. • Recognise that averages hide opportunities where good and bad performance offset each other There’s a fascinating 140-year history of optimising these decisions which are commonly referred to as Newsvendor problems – but that story deserves its own post.

📣 Are You Maximizing Your Business Decisions? Unlock the Power of Cost-Benefit Analysis! Cost-Benefit Analysis (CBA) is a systematic approach used to evaluate the economic feasibility of projects by comparing their costs and benefits in monetary terms. It serves as a crucial tool for decision-making across various sectors, including public investment, energy, and construction. #CBA not only aids in assessing the societal value of projects but also facilitates informed choices regarding resource allocation and project prioritization. 💡 Key Insights: ❶ Data-Driven Decisions: CBA quantifies the value of potential investments, ensuring decisions are based on solid data. ❷ Risk Mitigation: By evaluating potential benefits and costs, businesses can better prepare for risks, enhancing strategic planning. A Step-by-Step Guide to Conducting a CBA: ❶ Define Objectives and Scope: Clarify what decision the analysis will inform. ❷ Identify Costs and Benefits: Consider all direct, indirect, fixed, and variable factors. ❸Quantify Costs and Benefits: Assign monetary values using reliable data sources. ❹Discount Future Values: Apply a discount rate to account for the time value of money. ❺ Compare Costs and Benefits: Calculate net present value (NPV) and benefit-cost ratio (BCR). ❻ Conduct Sensitivity Analysis: Explore different scenarios to assess robustness. ❼ Make a Recommendation: Use findings to justify whether to proceed with the option. ❽Document and Report: Compile a detailed report of the methodology and conclusions. Tools and Techniques: 💡 Software Tools: Use programs like Microsoft Excel, R, or specialized software like Crystal Ball for financial modeling. 💡 Analytical Techniques: Utilize statistical analysis, scenario planning, or Monte Carlo simulations to enhance insight accuracy. Financial Metrics Related to CBA: 🗝️ #Payback_Period (PBP): Understand liquidity and investment recovery time. 🗝️ #Return_on_Investment (ROI): Measure percentage returns relative to costs. 🗝️ #Internal_Rate_of_Return (IRR): Evaluate profitability based on potential rates of return. 🗝️ #Net_Present_Value (NPV): Determine if benefits exceed costs by calculating present value of cash flows. 💬How has cost-benefit analysis impacted your decision-making? Share your experiences or tips in the comments below! #BusinessStrategy #DecisionMaking #CostBenefitAnalysis #Leadership #FinancialPlanning