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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” Mitchell says.

Metrics 142
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Build Up Your Performance With KPI Scorecards – Examples & Templates

datapine

Tracking the success metrics based on your needs, and the time frame you select while comparing your values can be done with simple yet effective scorecards. A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator. What Is A KPI Scorecard?

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

So, you start by assuming a value for k and making random assumptions about the cluster means, and then iterate until you find the optimal set of clusters, based upon some evaluation metric. There are several choices for such evaluation metrics: Dunn index, Davies-Bouldin index, C-index, and Silhouette analysis are just a few examples.

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Sports venues advance goals, enhance fan experience with data analytics

CIO Business Intelligence

A 2018 report by consulting firm Deloitte notes that fans at home often have access to better camera angles, as well as AR/VR, multiplatform, and other multimedia options. The only way you can really advance change is by measuring, and then from measurement, impact. Sustainability is all about continuous business improvement.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250
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Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

In both of these applications (supervised and unsupervised machine learning), if we don’t have these initial insights and validation metrics, then how does such model-building get started and get moving towards the optimal solution? In those intermediate steps it serves as an evaluation (or validation) metric.