Budget Variance Analysis

If You Can’t Explain Budgeting Like This, You’re Not Ready for FP&A Interviews. Let’s assume I ask you the budget for fuel (petrol/diesel) expenses that you are going to incur next year in 2026. How would you budget using the below techniques: 1. Incremental / Traditional Budgeting You take into account the expenses on fuel you made this year. Assuming that amount is INR 50,000. Considering inflation, fuel price changes, and usage patterns, you estimate a 20% increase. Accordingly, your fuel budget for next year will be INR 60,000 (50,000 + 20%) 2. Zero-Based Budgeting Instead of taking current year’s expenses, you start from scratch. You estimate how much your car will travel next year. Then factor in expected fuel price and mileage of your vehicle. Based on this, you calculate a reasonable estimate of fuel expenses for next year 3. Activity-Based Budgeting Let’s say you use the car only to commute to and from office. For each round trip, your car consumes fuel worth INR 500. Your budgeting would be based on this activity (number of trips taken in a year). If you go to office twice a week, total trips = 52 × 2 = 104. Hence, your fuel budget = 500 × 104 = INR 52,000. 4. Flexible Budgeting Your fuel cost depends on how frequently you travel. Instead of one fixed budget, you prepare multiple scenarios. Example: 2 days/week → INR 52,000 4 days/week → INR 104,000 Your actual budget will depend on actual usage during the year. 5. Rolling (Continuous) Budgeting You don’t fix the budget once for the entire year. You keep revising it periodically (monthly/quarterly). Example: if fuel prices increase mid-year or your travel increases, you update the remaining budget accordingly. 6. Top-Down vs Bottom-Up Budgeting Top-Down: You decide a cap (say INR 55,000) and adjust your usage to stay within it Bottom-Up: You calculate expected usage (like ABB/ZBB) and arrive at the number logically 7. Value Proposition Budgeting (using the same example) Instead of focusing only on cost, you evaluate whether the expense creates value. You analyse each type of travel: Office commute - necessary Leisure / unnecessary trips - optional You may reduce or eliminate low-value trips, carpool, or use alternative transport. Hence, your budget is driven by value derived rather than just estimated usage. This way, the same fuel expense can give you very different budgets depending on the approach you use.

𝗪𝗵𝘆 𝗧𝗕𝗠 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝘂𝗻𝗱𝗲𝗿𝗿𝗮𝘁𝗲𝗱 𝗰𝗼𝘀𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆? Everyone talks about FinOps when it comes to cloud cost control. But TBM? It’s the only framework that provides a structured way to align IT spending - both digital and non-digital - with business value. Today most IT cost-cutting efforts focus on cloud costs. But what about on-prem data centers, networking, end-user computing, software licensing, IT service management, and physical infrastructure? That’s where TBM shines. Unlike FinOps, which primarily focuses on cloud cost management, TBM covers all IT spend - digital and non-digital. That means: ✓ On-prem data centers (server costs, cooling, power, maintenance) ✓ SaaS and enterprise software (license costs, renewals, shadow IT) ✓ Network infrastructure (bandwidth costs, MPLS, SD-WAN optimizations) ✓ End-user computing (desktops, mobile devices, IT support costs) ✓ IT services & outsourcing (managed services, BPOs, contract negotiations) This is what makes TBM different - it breaks IT costs into layers: ✓ Cost Pools – The raw IT expenses (hardware, software, labor, facilities, etc.). ✓ IT Towers – Logical groupings like compute, storage, network, and applications. ✓ Products & Services – The services IT delivers (e.g., CRM platforms, cloud storage, collaboration tools). ✓ Business Units – The actual consumers of IT resources (sales, marketing, HR, etc.). This multi-layer mapping gives granular visibility into IT spending. This enables CIOs and CFOs optimize across hybrid IT environments. 𝗪𝗵𝘆 𝗜 𝗹𝗼𝘃𝗲 𝗧𝗕𝗠? Most organizations optimize reactively - shutting down workloads, cutting headcount, or delaying upgrades. TBM forces a proactive, data-driven approach by integrating: ✓ Cost transparency – Mapping IT costs to business units, services, and outcomes ✓ Showback/chargeback – Assigning costs directly to business teams for accountability ✓ Unit economics – Measuring IT efficiency per unit of business value (cost per transaction, cost per API call, etc.) ✓ Benchmarking – Comparing internal IT costs with industry standards to identify waste The result? ✓ IT isn’t just seen as a cost center - it becomes a strategic partner. ✓ Cost-cutting doesn’t compromise performance or innovation. ✓ Businesses make smarter investment decisions, balancing cost, quality, and value. Why TBM is still underappreciated? TBM doesn’t promise quick fixes. It requires a mature cost culture, strong leadership, and deep integration into financial planning. And the truth is - many companies don’t want to do the hard work. They’d rather cut budgets blindly than ask the harder question: "Is this IT spend actually driving business value?" The companies that do embrace TBM gain full control over IT costs - cloud, data center, software, infrastructure, services, everything. TBM is about spending right, not spending less. #TBM Technology Business Management (TBM) Council

Do you want to start using Machine Learning and Python for Budgeting? This is what I'd recommend: First, what is Machine Learning? Think of it as a way for computers to learn from data without needing to be told exactly what to do. Instead of following a strict set of rules, the computer looks at lots of information (data), finds patterns, and uses that to make decisions or predictions. As FP&A and #finance professionals, you don’t need to be a data scientist to use its power—you just need the right tips and tools to get started with Python and #AI ! If you are a beginner with Python, start here: https://lnkd.in/eNZqsHvi ✅ Automated Data Processing One key tip for this is to use Python’s pandas library for automating data collection and processing. You can quickly clean, sort, and organize large datasets without worrying about manual errors. This automation saves time, speeds up the budgeting process, and ensures data consistency. You can even ask ChatGPT for sample code on how to automate data imports! ✅ Trend Analysis I recommend using the matplotlib and seaborn libraries to visualize trends and patterns in historical financial data. Just ask ChatGPT for guidance on how to create visuals in Python. ✅Anomaly Detection A great way to detect anomalies in your financial data is by using the scikit-learn library. Start with unsupervised learning algorithms like Isolation Forest or clustering methods (e.g., DBSCAN) to spot unusual patterns or potential errors in your data. These models can help you identify fraud or prevent budgeting errors before they escalate. ✅Predictive Modeling Predictive modeling is easier than you might think. By leveraging machine learning algorithms such as Linear Regression or Decision Trees (available through scikit-learn), you can forecast future financial performance based on historical data. Once set up, these models will improve your budgeting forecasts' accuracy over time. ✅ Dynamic Budgeting Machine learning allows your budgets to be flexible. I recommend using real-time data adjustments with Python, updating your budgets automatically using tools like statsmodels or prophet. Read this to learn more about Prophet: https://lnkd.in/eB8Qm3EY ✴ Remember: Python is beginner-friendly, and many of the libraries I mentioned are easy to learn with some practice. Whenever you’re stuck or need help with code, you can ask ChatGPT for assistance! If you want to leverage GenAI and ChatGPT for Finance, Nicolas Boucher and I are having our 9th cohort of this training: Use this link to get a discount: https://lnkd.in/e4FugWeY

In a recent roundtable with fellow CXOs, a recurring theme emerged: the staggering costs associated with artificial intelligence (AI) implementation. While AI promises transformative benefits, many organizations find themselves grappling with unexpectedly high Total Cost of Ownership (TCO). Businesses are seeking innovative ways to optimize AI spending without compromising performance. Two pain points stood out in our discussion: module customization and production-readiness costs. AI isn't just about implementation; it's about sustainable integration. The real challenge lies in making AI cost-effective throughout its lifecycle. The real value of AI is not in the model, but in the data and infrastructure that supports it. As AI becomes increasingly essential for competitive advantage, how can businesses optimize costs to make it more accessible? Strategies for AI Cost Optimization 1.Efficient Customization - Leverage low-code/no-code platforms can reduce development time - Utilize pre-trained models and transfer learning to cut down on customization needs 2. Streamlined Production Deployment - Implement MLOps practices for faster time-to-market for AI projects - Adopt containerization and orchestration tools to improve resource utilization 3. Cloud Cost Management -Use spot instances and auto-scaling to reduce cloud costs for non-critical workloads. - Leverage reserved instances For predictable, long-term usage. These savings can reach good dollars compared to on-demand pricing. 4.Hardware Optimization - Implement edge computing to reduce data transfer costs - Invest in specialized AI chips that can offer better performance per watt compared to general-purpose processors. 5.Software Efficiency - Right LLMS for all queries rather than single big LLM is being tried by many - Apply model compression techniques such as Pruning and quantization that can reduce model size without significant accuracy loss. - Adopt efficient training algorithms Techniques like mixed precision training to speed up the process -By streamlining repetitive tasks, organizations can reallocate resources to more strategic initiatives 6.Data Optimization - Focus on data quality since it can reduce training iterations - Utilize synthetic data to supplement expensive real-world data, potentially cutting data acquisition costs. In conclusion, embracing AI-driven strategies for cost optimization is not just a trend; it is a necessity for organizations looking to thrive in today's competitive landscape. By leveraging AI, businesses can not only optimize their costs but also enhance their operational efficiency, paving the way for sustainable growth. What other AI cost optimization strategies have you found effective? Share your insights below! #MachineLearning #DataScience #CostEfficiency #Business #Technology #Innovation #ganitinc #AIOptimization #CostEfficiency #EnterpriseAI #TechInnovation #AITCO

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗯𝘂𝗱𝗴𝗲𝘁 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗺𝗶𝗴𝗵𝘁 𝘀𝗹𝗼𝘄 𝗱𝗼𝘄𝗻 𝘆𝗼𝘂𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 💥 Traditionally, companies plan fixed annual budgets, allocate these to existing channels and only make slight changes throughout the year. ⚙ In today’s fast paced world this approach can often be very misleading. 🚨 Agile budgeting refers to continuously reviewing and adjusting budgets based on data to be more responsive and shift focus to best performing channels. ✅ 𝗛𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮𝗴𝗶𝗹𝗲 𝗯𝘂𝗱𝗴𝗲𝘁𝗶𝗻𝗴 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: ♻ Shorter Planning Cycles: Break down annual plans into quarterly or even monthly budgets, giving you more flexibility. 📊 Real-Time Tracking: Set up analytics dashboards and reporting tools to track key performance indicators (KPIs) for each campaign and channel. 🔎 Iterative Reviews: Regularly review budgeting with your team (weekly or bi-weekly). Discuss campaign performance and be ready to shift funds. 🌱 Embrace Flexibility: Be comfortable with the idea that your initial plan might change. Prioritize making adjustments based on data, rather than sticking to a rigid budget. 🔀 Cross-Functional Alignment: Work closely with finance teams to understand any constraints and ensure processes support nimble budget adjustments. What's your approach to budget planning? Let me know in the comments. 💬 - - - 🔔 Want to read more? Follow me Maximilian for regular posts and updates on #digitalmarketing, #lifeatgoogle and #career in tech.

𝗔𝗿𝗲 𝘆𝗼𝘂 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗦𝗼𝘂𝗿𝗰𝗲-𝘁𝗼-𝗣𝗮𝘆 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗰𝗼𝘀𝘁𝘀? If not, why let savings from smart Procurement slip away due to outdated technology or suboptimal use? S2P technology plays a central role in cost management, yet many companies lack a strategic approach to continuously assess and optimise their tech stack. Companies can adopt Bain & Co’s "𝗥𝗲𝗱𝘂𝗰𝗲, 𝗥𝗲𝗽𝗹𝗮𝗰𝗲, 𝗮𝗻𝗱 𝗥𝗲𝘁𝗵𝗶𝗻𝗸" model to continuously evaluate their technology infrastructure and costs, ensuring a more optimised and sustainable cost profile. Here is the model in action for Source to Pay technology cost optimisation: ▪️ 𝗥𝗲𝗱𝘂𝗰𝗲 to recover 10 to 20% of costs through short-term actions such as - adjusting licenses to match actual usage and adoption patterns - discontinuing features or functionalities that add little value - switching off modules where business capabilities have not yet caught up Avoid over-licensing by matching user access to actual needs, ensuring modules align with Procurement’s readiness. ▪️ 𝗥𝗲𝗽𝗹𝗮𝗰𝗲 to yield 20 to 30% of savings by - transitioning to cost-optimal, flexible solutions and getting out of lock-ins - switching subscription models when premium offerings are unnecessary - consolidating overlapping tools that offer similar features For example, merge multiple eSourcing tools into a primary platform and adopt a tender-based pricing for niche auction needs. This helps to adjust the cost profile of your Source to Pay technology with the actual needs. ▪️ 𝗥𝗲𝘁𝗵𝗶𝗻𝗸 to realise up to 40% cost optimisation by: - reimagining the architecture with a modular, composable design - automating and orchestrating processes and integrating new digital tools - reevaluate the mix of best-of-breed solutions vs integrated suites A new Procurement strategy requires a fresh look at the S2P tech stack to ensure it adapts and supports growth cost-effectively, while offering flexibility through additional digital levers like AI and automation. 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗶𝗻𝗴 𝗦𝟮𝗣 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗶𝘀 𝗮 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗷𝗼𝘂𝗿𝗻𝗲𝘆, 𝗻𝗼𝘁 𝗮 𝗼𝗻𝗲-𝘁𝗶𝗺𝗲 𝗲𝗳𝗳𝗼𝗿𝘁, especially with contractual commitments, sunk costs, and change management challenges. Rather than following IT preferences and standards, it’s about keeping technology fresh and aligned with business needs as they evolve. ❓How do you manage your S2P technology to adapt to changing business needs while maintaining cost efficiency.

Gartner emphasizes that successful CIOs transition from reactive to proactive cost management by implementing IT smart spending strategies. This involves continuously rationalizing expenditures, optimizing underutilized assets, and reinvesting in high-performing technologies to maximize business value. To achieve this, CIOs should: - Embrace Smart Spending: Develop a strategic cost optimization discipline within IT to maximize business value and minimize spend. - Establish Financial Transparency: Track spending at the outcome level to better understand its value to the organization. - Set Targets and Benchmarks: Examine how your spending compares with that of your peers through external benchmarking. - Establish Accountability: Run cost optimization as an ongoing discipline with your business unit leaders and infuse it into your organization’s culture. - Use Savings to Drive Enterprise Strategy: Reduce and optimize where possible to help fund new initiatives to drive the strategy of the organization. By adopting these practices, CIOs can ensure that IT investments are strategically aligned with business objectives, fostering sustainable growth and innovation. #CIO #ITStrategy #SmartSpending

📊 Budget vs Actuals Isn’t About Comparing Numbers — It’s About Explaining Behavior After my last post on Budget vs Forecast, many asked me: “How do you track if the business is actually performing against the plan?” So I built a Budget vs Actuals + Variance Analysis dashboard that turns monthly numbers into decisions (snapshot attached). Here are the 3 parts that make the model valuable: ✅ 1. Monthly targets that reflect real business behavior Instead of splitting the annual budget by 12, I adjust for: • Seasonality • Hiring plans • Projects & expansions • Revenue cycles A “correct” monthly budget removes fake variances and shows real performance gaps. ✅ 2. Automated variance analysis that tells a story Every month, the model updates: • Variance (amount + %) • Favourable vs unfavourable flags • Frequency of variance • Driver behind each gap (e.g., salaries, materials, transport) It stops the “we overspent” conversation and focuses on why it happened. ✅ 3. Dashboard that makes management act within minutes I keep it simple: • Budget vs Actual trend charts • Variance highlights • Top 3 drivers for the month • One-line insight for each major deviation Fast-moving companies in Saudi Arabia don’t need 10 tabs — they need clarity that supports Vision 2030 performance culture. What I enjoy most: Building dashboards that connect: Budget → Actuals → Insight → Action Because at the end of the day, the value of finance isn’t reporting data… it’s driving better decisions. 💬 If you could upgrade ONE part of your reporting today, what would you choose? • Better budgeting • Clearer variance analysis • More visual dashboards Comment below — I’d love your perspective. #Finance #FPandA #VarianceAnalysis #Budgeting #FinancialModeling #SaudiArabia #Vision2030

Project cost control is not about cutting corners—it is about owning every dollar with certainty and confidence. The fastest way projects fail is not lack of skill, but lack of discipline around money. Research shows that over 65% of projects exceed their approved budgets, and once costs slip beyond control, recovery becomes nearly impossible. If you want predictable delivery and strong profits, you must treat cost control as a daily leadership habit, not an afterthought. High-Quality Project Management Templates & Documents: https://lnkd.in/dCGqF98z Start with a clear cost baseline, because projects with defined baselines perform 35% better financially. Break work into smaller packages to expose hidden costs early. Track actual cost weekly, not monthly, because delays in reporting increase overruns by up to 25%. Always separate direct and indirect costs—indirect costs are underestimated by 15–25% in most projects. Control scope aggressively, as scope creep alone drives 20–30% cost inflation. Estimate using historical data instead of assumptions. Build realistic contingency reserves, since projects without contingency fail twice as often. Use Earned Value metrics like EV, AC, CV, and CPI to see reality, not hope. Remember, when CPI drops below 0.9, projects rarely self-correct. Forecast regularly using EAC and ETC to avoid surprises. Freeze requirements early and apply strict change control, because unmanaged changes destroy budgets silently. Automate cost tracking instead of relying on manual spreadsheets—automation improves accuracy by up to 45%. Align procurement schedules with cash flow to avoid idle inventory. Negotiate contracts clearly to prevent claims and disputes. Monitor labor productivity daily, as labor represents 40–60% of total project cost. Assign cost ownership to task owners, not just the project manager. Communicate cost status transparently to stakeholders to build trust and enable faster decisions. Plan risks proactively, because unplanned risks account for over 30% of budget overruns. Review vendor performance continuously. Avoid gold-plating deliverables. Close issues early before they escalate financially. Standardize templates to reduce planning errors. Conduct regular cost reviews and lessons learned. Control overtime tightly. Validate invoices carefully. Track commitments, not just expenses. Protect contingency for real risks only. Forecast cash flow monthly. Use dashboards for instant visibility. Measure variance trends, not single numbers. Document assumptions clearly. Train teams on cost awareness. Audit costs periodically. Focus on value, not just spending. And above all, measure everything—because you cannot control what you do not measure. 👉 Call to Action: Take full control of your project budgets with our High-Quality Project Management Templates & Documents: https://lnkd.in/dCGqF98z #ProjectManagement #ProjectCostControl #CostManagement #ProjectBudget #PMTips #EarnedValue #Template22

The Hidden Supply Chain Costs Quietly Draining Your Profitability Supply Chain Management is a constant balancing act between efficiency, cost control, and customer satisfaction. But here’s the catch: the real cost killers are often invisible until they erode your margins. Let’s break them down 👇 Key Cost Components 1️⃣ Supplier Mapping & Risk Assessment Costs start long before production; supplier evaluation, onboarding, negotiation, and audits. These ensure reliability but can silently inflate budgets if overdone 2️⃣ Production / Manufacturing Raw materials, energy, labor, QC, and scrap all add up. Kaizen thinking can transform these from cost centers into value engines 3️⃣ Transportation & Warehousing Freight rates, fill-rate, fuel volatility, and inventory levels quietly eat into profitability. Optimized fill, routing and better warehouse utilization can turn the tide 4️⃣ Delivered Cost Shipping, handling, customs, and last-mile delivery impact both costs and customer satisfaction. Streamlining this delivers a double win 5️⃣ Installed Cost Costs don’t stop at delivery; assembly, testing, training, customer integration also matter 6️⃣ Operating Cost Obsolescence, returns, repairs, and service operations. Lifecycle thinking and predictive maintenance help minimize expense leaks 7️⃣ Cross-Category Costs Labor, technology, insurance, real estate, compliance, sustainability affect every stage. Visibility here is key to managing total spend. Insights for Cost Optimization ✅ See the “true” Cost‑to‑Serve Build a cost‑to‑serve view by customer, channel, and SKU to expose where you earn vs. where you bleed ✅ Design segmented supply chains Create different flows for stable vs. volatile demand and premium vs. standard service instead of a one‑size‑fits‑all model ✅ Automate hidden manual work Target planning, warehousing, and order processing for automation to cut errors, lead times, and “just in case” buffers. ✅ Tune inventory across lifecycle Align inventory policies with product life stage and variability, using multi‑echelon logic instead of blanket safety‑stock rules. ✅ Turn suppliers into cost partners Shift from price haggling to joint cost roadmaps, VMI/SMI, and long‑term agreements focused on total landed cost ✅ Make cost a governance topic, not a project Embed cost KPIs into S&OP/IBP, with clear ownership, link decisions to margin and resilience ✅ Embed Total Cost of Ownership Integrate TCO into sourcing, make‑or‑buy, and network design so “cheapest” and “best” stop being different answers. Supply chain cost management isn’t cutting expenses. It’s building resilience in a world shaped by volatility and disruption. By understanding hidden costs and applying right strategies, leaders safeguard profitability while sustaining high service levels. What cost optimization lever is working best for you right now : visibility, analytics, or process standardization?