Expert thinking on productivity, intangible asset valuation, growth strategy, and building more valuable businesses.
A practical decision framework for choosing between the Relief from Royalty (RFR) and Multi-Period Excess Earnings Method (MPEEM) when valuing intangible assets in purchase price allocations and standalone valuations.
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The gap between what productivity statistics measure and what actually drives economic performance will not close on its own. It requires a coordinated effort across firms, statistical agencies, standard-setters, and policymakers. Here is a practical framework for how to get there — starting with what firms can do today.
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A step-by-step guide to the Opagio Productivity Calculator — how to model your Gross Value Added, EBITDA, and Total Factor Productivity in real time. Learn what the numbers mean, how to interpret them, and why they matter for intangible asset investment decisions.
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A week-by-week 90-day AI roadmap for SME CEOs — from initial assessment and quick wins through pilot projects to a scalable AI framework.
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Most businesses know their intangible assets matter. Few can name them, and fewer still can value them. Here is how Opagio discovers and values the intangible assets that traditional accounting misses entirely.
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AI makes data more valuable, and data makes AI more capable — creating a symbiotic value relationship that compounds over time. This article examines how to measure, value, and invest in the AI-data flywheel that drives the most defensible technology businesses.
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Most generative AI business cases focus on cost reduction, but the larger opportunity is revenue growth through new products, enhanced customer experiences, and market expansion. This article provides a framework for measuring generative AI's revenue-side impact.
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AI licensing fees represent only 20-30% of total AI adoption costs. The remaining 70-80% — data preparation, integration engineering, change management, and ongoing maintenance — are the hidden expenses that derail AI budgets and timelines.
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AI capability is reshaping brand perception — for better and worse. Companies that deploy AI well strengthen trust and command premiums; those that deploy it poorly erode brand equity faster than traditional failures. This article examines the AI-brand value relationship and how to manage it.
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A comprehensive 40-point AI due diligence checklist covering technology verification, data asset assessment, talent evaluation, regulatory compliance, and commercial validation. Designed for investors and PE firms evaluating AI-enabled acquisition targets and portfolio companies.
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A list of 35 types of intangible assets, grouped by the five IFRS 3 classes and the CHS growth accounting categories, with an example, the balance sheet treatment and the usual valuation method for each.
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A practical framework for measuring human capital when AI is rewriting the value of skills, using OECD methodology and AI literacy metrics.
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