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NHL turns to venue metrics data to drive sustainability

CIO

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 only way for you to speak in the language of business is to have the data that help you derive those insights.”

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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.)

Analytics 262
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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Sport 280
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Sports venues advance goals, enhance fan experience with data analytics

CIO

A big part of that effort involves advanced analytics to gain better insight into what’s happening at a venue in real-time so staff can respond rapidly to changing conditions. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

Sport 244
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The Ultimate Guide to Software Delivery & Engineering Metrics

As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.

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5 tips for excelling at self-service analytics

CIO

Data-informed decision-making is a key attribute of the modern digital business. But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities.

Analytics 342
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How to evolve your DTC startup’s data strategy and identify critical metrics

TechCrunch

Michael Perez is director of growth and data at M13. Direct-to-consumer companies generate a wealth of raw transactional data that needs to be refined into metrics and dimensions that founders and operators can interpret on a dashboard. Evolving your startup’s data strategy. Start by identifying your critical metrics.

Metrics 245
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Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.

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Turning Metrics into Dollars: How to Turn Your Analytics Data into a Real Financial Model for your Startup

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

You'll learn: How to turn basic dashboard metrics into a financial model. Early stage startups in particular may not need a four year business plan, but they need to start building out a model which will show how they can someday be profitable. Learn how margin of error impacts financial projections.