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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” Mitchell says.

Metrics 144
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insightsoftware Acquires Power ON, Integrating Operational Planning Solutions with Microsoft Power BI

Jet Global

. – February 8, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Power ON , a US-based software company that transforms Microsoft Power BI into a comprehensive planning and data collection solution.

Finance 59
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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Delete anything that's redundant, and simply visualize what's left for sharper focus. simplification and 2.

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MLOps and the evolution of data science

IBM Big Data Hub

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Build models either visually or with code, and deploy and monitor into production.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

The ability to measure results (risk-reducing evidence). These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. I double-dare you not to visualize that cohort!

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. 2015) for additional details. Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009.

Modeling 139
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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. 29, 2015, Republicans from the U.S. What Is A Misleading Statistic?