Remove 2014 Remove Metrics Remove Visualization
article thumbnail

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. Mitchell says the league is thinking of NHL Venue Metrics in the same way. “We SAP is the technical lead on NHL Venue Metrics.

Metrics 144
article thumbnail

Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use. Let’s assume you have the right data and the right data visualization software. Distribution.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

article thumbnail

Discover 20 Essential Types Of Graphs And Charts And When To Use Them

datapine

That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. Let’s dive into them.

article thumbnail

6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

article thumbnail

Super-charged pivot tables in Amazon QuickSight

AWS Big Data

Additionally, with Amazon QuickSight Q , end-users can simply ask questions in natural language to get machine learning (ML)-powered visual responses to their questions. For example, in the following table, we would load all carrier/city combinations nested under Dec 7, 2014 before we can continue querying the next date.

article thumbnail

Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Gleaning actionable intelligence from disparate data sources.