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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. IT-driven sustainability The league released sustainability reports in 2014 and 2018.

Metrics 144
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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Additionally, it continuously explores reams of data and modern tools to improve its capabilities and adapt to the changing data landscape.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

While quantitative analysis, operational analysis, and data visualizations are key components of business analytics, the goal is to use the insights gained to shape business decisions. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics salaries.

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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 operational data is processed using SAP HANA Cloud and visualized with SAP Analytics Cloud.

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How to Write about Research Methods Like a Human (and Not a Textbook)

Depict Data Studio

Please please please use these transformations in your technical reports. When Did You Collect Data? Before : Initial surveys were launched on March 7, 2018 with fieldwork continuing to accommodate the schedules of participating institutions. Data collection was cut off on April 25 to begin data processing.

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted?

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted?