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How an EPM Solution Supports Managing Economic Uncertainty

Jedox

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. The models are practically useless. Oh, and by the way, you now have less time to make the decisions (see How to Manage Your Predictive Models During the Pandemic’s Rapid Changes ).

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How an EPM Solution Supports Managing Economic Uncertainty

Jedox

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. Data Architecture, IT Leadership

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Enhance your Lending with Predictive Analytics

BizAcuity

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. The consumer lending business is centered on the notion of managing the risk of borrower default.

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3 key mistakes leaders make today and how to overcome them

CIO Business Intelligence

Mistake 1: undisciplined growth Leaders are facing times of uncertainty, magnified recently with the collapse of Silicon Valley Bank and ongoing market turmoil. They have a paradigm called the “continuous learning machine,” where engineers use AI to automate their repetitive work tasks and build predictive models to help with productivity.

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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.