Remove Forecasting Remove Publishing Remove Reporting Remove Uncertainty
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How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. At the fund level, great uncertainty demands continual strategic and portfolio reviews to manage liquidity, identify assets at risk, and understand growth challenges. Pinpoint opportunities.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.

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Building Tax Planning into Enterprise Risk Management Strategies

Jet Global

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Why Boards are Paying More Attention to Their Firm’s Tax Planning Activities. The Role of Tax Teams.

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Preparing For an Uncertain Future in Tax

Jet Global

We also examine the uncertainties that lie ahead in international tax regimes, the power that automation and analytics will deliver to tax teams, and the outcomes of implementing tax software, which will enhance the strategic contribution that tax teams are able to make. Improve overall financial reporting and forecasts.

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The Difference between Supercycles and Short Cycles and their Implications

Andrew White

Given that the article is published in the Exchange section those implications are related to business and finance. The second article looks at the recent jobs market and reports that in February 379,000 jobs were added in the US. How do we frame our short-term decisions given all these uncertainties? We guess. We use models.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

Photo by Roberto Nickson on Unsplash Much effort has been spent understanding and forecasting the success of movies (e.g., The user can enter information about a proposed film project and receive a report on the riskiness of the project. Input page for ReelRisk. and even set their risk tolerance.

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