Portfolio Management

Change management has a branding problem. Many leaders think it’s emails, slides, and town halls. That misunderstanding kills change before it even begins. Here’s what it often gets reduced to: ❌ Sending a few announcement emails ❌ Building polished slide decks ❌ Hosting a one-time town hall Real change work runs deeper: ✅ Stakeholder analysis and mapping → Knowing whose buy-in makes or breaks momentum ✅ Change impact assessments → Anticipating how roles, workflows, and daily lives will shift ✅ Readiness assessments → Gauging if the organization is equipped to move ✅ Communication planning → Designing messages that connect with people, not just inform them ✅ Sponsor roadmaps and coaching → Guiding leaders to model the change, not just announce it ✅ Resistance management → Addressing fear and friction before they spread ✅ ROI evaluation → Measuring whether the investment actually delivers And beyond these: journey mapping, coalition building, cultural alignment, reinforcement strategies – the real work of sustaining change. Because the truth is: Change isn’t a memo, a project plan or an event. It’s a disciplined process of moving people from “the way things are” to “the way things need to be.” PS: What’s the biggest misconception you’ve seen about change management? -- 📌 If you want a high-res PDF of this sheet:   1. Follow Daniel Lock 2. Like the post 3. Repost to your network 4. Subscribe to: https://lnkd.in/eB3C76jb

Dear MBA Class of 2027 - Stop Sending Resumes. Start Sending Links. That’s how I cracked my internship. While batchmates were polishing buzzwords, I was polishing Power BI visuals. While others pitched “cross-functional synergy”, I built a working currency converter app in Excel. I’m not a core techie. Not a pure management type either. I sit in that powerful middle lane -> techno-functional. So I took a different route: Built few real-world projects: 1) Mandi Price Tracker App - fetches daily prices from multiple agricultural markets via REST APIs 2) Excel Scenario Simulator - runs 8 business scenarios in parallel with dynamic inputs 3) Power BI Dashboard - visualizes pan-India Clean Energy metrics using live REST API data 4) Monte Carlo Simulator - models risk & return for an 8-stock equity portfolio in Excel Then I did this: -Created a personal website -Links to live dashboards -Gave video demos over Zoom calls Recruiter’s first line: “This is refreshing. Let’s skip the usual.” Two weeks later, internship in hand. -- MBA Class of 2027 - here’s the playbook if you’re targeting techno-functional roles: 1) Don't just say “I know tools” - show business thinking through them 2) Skip fluff. Build lean, relevant, real-world solutions 3) Make your portfolio easy to click, demo-ready, and story-rich Forget big words. Be demo-ready. Be impressive in 10 seconds or less.

“Let’s build a driver-based model” is often framed as a forecasting upgrade. It is more than that: It is a governance decision about who owns which assumptions, how planning processes connect, and what each number is actually meant to do. Many finance functions still run long-range planning, budgeting and rolling forecasts as separate exercises. Often in different tools. Sometimes owned by different teams. Then the organisation is surprised when the numbers do not align. All budget processes I've been a part of started in one of two places... - Last year's actuals and an extrapolation - The latest forecast for next year None took into account the company strategy, and as a result... ...it felt disconnected, was difficult to get buy-in for, and was outdated as soon as the new year started. That's why I now work with clients to do it differently... The logic that connects the processes is fairly simple: 1️⃣ Strategy vs. reality The long-range plan and annual budget are strategy-driven. They define where the business has chosen to go. The rolling forecast is reality-driven. It shows where the business is actually heading. 2️⃣ No gap between budget and plan The annual budget should not contradict the long-range plan. If it does, either the strategy or the budget needs to be challenged. 3️⃣ Budgeting is about closing the gap Budgeting is not about producing another version of the truth. It is about deciding which actions, resources and trade-offs are needed to close the gap between forecasted reality and strategic ambition. 4️⃣ Drivers belong to the business Volume, price, mix, headcount and capacity assumptions should be owned by the people who can actually influence them. Finance should not create business assumptions in isolation. 5️⃣ Finance owns the model, not all the inputs Finance should govern the model, connect the drivers and ensure consistency. The business should own the assumptions that go into it. Most planning disagreements are not really about the numbers. They are about unclear ownership, disconnected processes, or different definitions of what each number is supposed to represent. Where does your organisation draw the line between what Finance owns and what the business owns in planning? ♻️ Like, comment, and repost to help more finance teams ---------- 🧑🏼💼 I am a Partner at Implement Consulting Group 🗣️ Reach out to talk about the following: ...Finance Transformation ...Enterprise Performance Management ...Finance Capability Building ...Value Creation

When ROI is used to compare strategic initiatives, strategy disappears. Some firms unintentionally kill their strategy by evaluating every initiative with the same metric—usually ROI. When ROI becomes the universal yardstick, strategy collapses into short-term financial sorting or into expensive failures based on hockey-stick projections. This is especially dangerous if CEOs are remunerated on the basis of EBIT targets or short-term stock options. As a board member and strategist, I recommend a different approach: assess initiatives along the Three Horizons. Three Horizon thinking is strategic because it forces leaders to do what strategy fundamentally requires: Allocate resources across different time horizons under uncertainty to optimize the current business and build the business of tomorrow. In other words: perform and transform. Horizon 1: Strengthen the core business These initiatives keep the company competitive today. Yes—ROI is appropriate here. Efficiency, margin, and cash flow matter. Horizon 2: Grow emerging businesses These initiatives build the next engines of growth. ROI is dangerous here because too many assumptions are required. The right question is: Does this strategic initiative meaningfully grow our emerging business? Horizon 3: Create options for the future These are investment into resources and capabilities that lead to potentially disproportionate competitive advantages. Early ROI calculations are meaningless. Instead ask: Does this strategic initiative create options we may need later? A real strategy allocates resources across all three horizons. In my experience, only Horizon 1 initiatives should be assessed by ROI. Horizons 2 and 3 require strategic judgment, not spreadsheet logic. Please repost if you agree. Comment if you disagree. Follow if you like more reframing. #strategy #leadership #transformation #VRIO #ROI #investments     Source of the Three Horizon model: Baghai, M., Coley, S., & White, D. (1999). The alchemy of growth: Practical insights for building the enduring enterprise. Perseus Publishing.

Microsoft runs the backbone of nearly every enterprise, but that doesn’t mean Zoom can’t lead your communication and collaboration strategy. In this video, I break down *How Zoom seamlessly fits into a Microsoft ecosystem*, proving you don’t have to choose between the two—you can get the best of both worlds. 🚀 What you’ll see in this video: • How Zoom works as a communication, collaboration, and AI platform alongside Microsoft 365. • *Live Demos* of Microsoft integrations: • *Outlook* → Schedule, Join, and Manage Zoom meetings directly from your calendar. • *Microsoft Teams* → use Zoom inside Teams with frictionless workflows. • Why enterprises unlock more productivity by combining Microsoft’s infrastructure with Zoom’s innovation. Perfect for IT leaders, collaboration architects, and business decision makers who want to maximize their Microsoft investment without sacrificing Zoom’s simplicity, reliability, and AI-driven innovation. 📌 Topics covered: • Zoom + Microsoft 365 • Zoom + Outlook • Zoom + Microsoft Teams • Zoom AI Companion inside Microsoft • Zoom vs Teams: better together The video is long (39 Minutes), but I broke it into chapters so you can jump to the part most relevant to you. Zoom & Microsoft Demo Video: https://lnkd.in/ebsiDrag PS…Can you think of a workflow you’d want to see integrated?

A comprehensive guide for FP&A 📈 Most companies think basic reporting and budgeting is enough. They're wrong. 🤓 Every month I meet with companies who don't understand why they're missing their targets, why their cash flow doesn't match their P&L, or why their forecasts are off by 50%. Want to know what you actually need to succeed in FP&A? Let me break it down for you 👇 ➡️ CORE FP&A FUNCTIONS It all starts with three main pillars that every business needs to master... OK...first up is Budgeting & Forecasting. Annual budgets aren't enough anymore. When the market shifts, your annual budget becomes useless by March. You need rolling 13-week cash flow forecasts, updated weekly, tracking every major cash movement. Your forecasts should be built on your actual sales pipeline, not wishful thinking. Next up...Financial Analysis. This is where you spot issues BEFORE they wreck your P&L. When you see a 10% variance in cost centers, you investigate immediately. When revenue per customer starts dropping, you run cohort analysis. When gross margins decline, you dive into product-level profitability. Then there's Management Reporting. Forget 50-page report decks. Focus on what drives decisions: customer acquisition costs against lifetime value, working capital efficiency, and real unit economics by product line. ➡️ YOUR TECH STACK Financial Software: The backbone of your operations - where every transaction gets recorded, every invoice gets processed, and every financial record lives. From SAP, Oracle, to NetSuite and Microsoft Dynamics. Planning Software: Your command center for forecasting, budgeting, and strategic planning. Tools like Anaplan, Workday, and Oracle handle the heavy lifting. Data Analysis Tools: Where the real number-crunching happens. Advanced Excel, Power Query, and SQL databases transform raw data into actionable insights. ➡️ BEST PRACTICES Want to know what separates good FP&A from GREAT FP&A? Start with daily bank recs and weekly balance sheet reviews. Track every variance over 5%. Keep one master forecast file with clear naming conventions. Document every major assumption. Automate the basics: bank feeds, intercompany recs, and allocation entries. This gives you time for what matters - analysis that drives decisions. ➡️ STRATEGIC IMPACT This is where FP&A proves its worth: calculating IRR on every major investment, tracking payback periods, analyzing customer cohort profitability, and maintaining those razor-sharp contribution margins. ➡️ FUTURE TRENDS AI isn't just hype anymore. It's catching anomalies in transactions and predicting cash flows. Real-time reporting means tracking sales against forecasts as they happen. And cloud integration? That's syncing your data across systems 24/7. === That's my take on what makes FP&A truly powerful. What's your biggest FP&A challenge? Drop it in the comments below 👇

Wealth creation sirf bada corpus banane ka naam nahi hai, balki usse timely use karne ki ability bhi equally important hai! Last year, one of my clients had a ₹2 crore portfolio—invested entirely in stocks and real estate. But when he needed ₹10 lakh urgently for a medical emergency, he struggled. His stocks were down, real estate was illiquid, and selling would mean a major loss. ➡ This made him realize: wealth isn’t just about high returns, but also about accessibility 🔹 Stocks: High liquidity but volatile. Selling in a downturn can lead to losses. 🔹 Real Estate: Long-term wealth but difficult to liquidate instantly. 🔹 Mutual Funds: A balance of growth & accessibility. Ideal for planned withdrawals. 🔹 Fixed Deposits: Secure, but may have premature withdrawal penalties. A balanced portfolio ensures you have both wealth creation and emergency access. Always maintain a mix of high-return and liquid assets. ➡ Because financial freedom isn’t just about having money—it’s about having money when you need it!

Most analytics portfolios miss the mark. They focus on tools instead of thinking. They show charts instead of decisions. They walk through code instead of outcomes. If you’re building your first portfolio, don’t try to show everything. Show that you can solve business problems with data. Here’s an example of what that looks like: 1. Revenue Deep Dive - Use a public dataset. - Break down revenue by segment, product, or customer. - Show where the money is made or lost. - Explain your findings like you’re talking to a CEO. Simple and clear. 2. Customer Churn Analysis - Clean and explore a churn dataset. - Build a basic model if you want, but focus on the why. - Why are customers leaving? - What would you recommend to fix it? 3. Marketing Funnel Breakdown - Track how leads move from click to close. - Highlight where drop-offs happen. - Build a dashboard an exec would actually use. - Write a one-page summary like it’s going in a board deck. At the end of the day, every hiring manager wants to know one thing: Can you take messy data and turn it into something useful?

The Reality of Cash Forecasting Over half of organizations are still using spreadsheets or have no formal system for cash forecasting. It's perennially in the top 2 must do lists for Treasurers but it's no wonder it gets put off. It's really complex. While it's described almost as a task, in reality it's an end to end process which reflects all the activity of the business. The key challenges faced by Treasury teams: ➡️ Data Quality Missing data from bank accounts and systems Inconsistent formats across departments Poor visibility of real-time balances Manual data entry errors Delayed submissions ➡️ Process Inefficiencies Hours spent on manual reconciliation Time-intensive variance analysis Delayed reporting cycles Resource-heavy data gathering Multiple verification steps ➡️ Strategic Limitations Disconnected planning processes Limited visibility into future positions Difficulty adapting to market changes Delayed decision-making Incomplete data for analysis There's no single technology that currently can address all these challenges, but using a combination can save significant time and increase accuracy. The AI hierarchy below outlines when to use which technology: ➡️ Automation such as RPA Scheduled data collection Automated report generation Standard calculations Regular data pulls Format standardization ➡️ Artificial Intelligence Anomaly detection Data validation Automated reconciliation Pattern recognition Exception handling ➡️ Machine Learning Historical pattern analysis Predictive forecasting Payment behavior tracking Trend identification Continuous accuracy improvement To make progress, you don't need to change everything at once. Start by identifying solutions which can quickly save time. I shared some examples last week (you can read it in the link below) such as automating chasing submissions from operating companies, or using AI to validate data. With these approaches, you can make rapid progress and incrementally improve. What part of your forecasting process would benefit most from improvement? These slides are part of Your Treasury's AI and Machine Learning in Cash Forecasting workshop taking place tomorrow. We'll be hosting this workshop again both online and in person (London) in the coming weeks Last week's post on time saving tips in cash forecasting is here https://lnkd.in/esTM34Wd