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Tools for a Fractional CFO, Bunker vs. Reach Reporting for FP&A and Accounting
This year, I launched a Fractional CFO Services business. As part of my effort to steam line the financial reporting at my clients, I started using a software platform called Bunker, an innovative software company that provides great software for a Fractional CFO driving FP&A reporting, among other things. In order to settle on Bunker,… Continue reading
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Wondering about machine learning in your efforts? Let’s talk the basics about Random Forest and XGBoost.
The business generalist or expert in a specific aspect of business operations might wonder about machine learning and data science. Random Forest and XGBoost are two techniques that are related and commonly used in business predictive modeling. I want to give you some basics for these frequently used techniques so you can be sharp enough… Continue reading
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Revolutionizing Consumer Loan Financial Reporting and Analysis
Our use of Vector ML Analytics’ financial analytics platform significantly enhanced our loan portfolio management by integrating customizable behavioral assumptions, generating comprehensive financial projections, and offering advanced securitization reporting. This resulted in improved accuracy in financial planning, informed strategic decision-making, and robust risk management. By leveraging Vector’s dynamic forecasting and optimization reports, we achieved a… Continue reading
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LCV is for client unit economics, True Profitability is for product unit economics and another approach to drive value in your SaaS business.
Living in a SaaS world, we are often focused on LCV (Lifetime Customer Value) for a critical unit measurement of profitability. But, it’s also important to understand your product unit economics. True Profitability, a term and methodology developed by Pedro Ferro and described in his book by the same name, determines the specific unit economic… Continue reading
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Managing a Loan Portfolio with Great Analytical Tools
Partnering with Vector ML Analytics, my team transformed our consumer loan portfolio’s financial reporting, emphasizing advanced analytics for precision and efficiency. This collaboration covered data integration and deployment, improving reporting through automation, resulting in speed, accuracy, cost savings, and better decision-making. Our enhanced reporting capabilities now include detailed asset and liability insights, weekly cash flow… Continue reading
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Recurring revenue modeling can be tricky, using cancellation curves can improve precision and results
In a recent post on SaaS financial modeling, I covered some of the main drivers that play a role in the construction of financial forecasts for SaaS and related business models. One of the most important aspects of such financial forecasts is the build out of contracted revenues. In general contracted revenues can be quite… Continue reading
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Crypto futures trading can produce serious returns with predictive algorithms
Predictive models underpin many trading systems. In this post, I discuss the application to the emerging world of crypto futures. Tradery LabsI recently had the pleasure of doing some advisory and coaching work with a startup called Tradery Labs. Tradery Labs is bringing futuristic predictive-modeling techniques into a highly honed system that will democratize the… Continue reading
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Key considerations for SaaS (or any recurring revenue) financial models
Build your components so the are easily expandable in time and detail In SaaS, decoding revenue dynamics is pivotal for pushing the business forward. Let’s talk about the elements of financial modeling tailored for SaaS companies: 1. Revenue Insights: MRR (Monthly Recurring Revenue): This quantifies the predictable monthly revenue, offering immediate insights into short-term revenue… Continue reading
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An AI Crystal Ball? How We Predict Future Outcomes Using a Temporal Fusion Transformer Model
Our data science and analytics teams handle and apply lots of data for insightful decision-making. Last year, I presented the data science team with a challenge: use historical data to predict a key business driver for each of the next 8 periods. We wanted to have a data-driven preview of what we might see in… Continue reading