Because of the fast-paced nature of the industry, it was necessary to create a system that provided real-time information that was coupled with its existing 2. How did Silvaris solve its problem using data visualization with Tableau? The use of tableau allowed them to create real-time visualizations of data without reporting system. Application Case 1.3: Siemens Reduces Cost with the Use of data Visualization What challenges were faced by Siemens' visual analytics group The group was tasked with creating comprehensive reporting systems that were to be used across multiple internal groups and systems 2 How did the data visualization tool Dundas bi help siemens in reducing cost? The solution allowed Siemens to use multiple data dashboards that could assist sers in identify ing issues early, so they could be quickly addressed Application Case 1.4: Analyzing Athletic Injuries What types of analytics are applied in the injury analysis? The analytics used data about the type of injury, action taken, healing start and end dates, players' position, activity, onset, and game location. The data were used to classify healing time into five periods and to associate healing time with players positions, severity of injury, and treatment offered That provided information for creating neural network models using player and injury data to predict healing time in terms of the five categories 2. ow do visualizations aid in understand ing the data and delivering insights into the data? Copyright C2018 Pearson Education, Inc.13 Copyright © 2018Pearson Education, Inc. Because of the fast-paced nature of the industry, it was necessary to create a system that provided real-time information that was coupled with its existing systems. 2. How did Silvaris solve its problem using data visualization with Tableau? The use of Tableau allowed them to create real-time visualizations of data without creating a separate reporting system. Application Case 1.3: Siemens Reduces Cost with the Use of Data Visualization 1. What challenges were faced by Siemens’ visual analytics group? The group was tasked with creating comprehensive reporting systems that were to be used across multiple internal groups and systems. 2. How did the data visualization tool Dundas BI help Siemens in reducing cost? The solution allowed Siemens to use multiple data dashboards that could assist users in identifying issues early, so they could be quickly addressed. Application Case 1.4: Analyzing Athletic Injuries 1. What types of analytics are applied in the injury analysis? The analytics used data about the type of injury, action taken, healing start and end dates, players’ position, activity, onset, and game location. The data were used to classify healing time into five periods and to associate healing time with players’ positions, severity of injury, and treatment offered. That provided information for creating neural network models using player and injury data to predict healing time in terms of the five categories. 2. How do visualizations aid in understanding the data and delivering insights into the data?