WEBINAR:
Treemap, Heatmap & Heat Matrix Data Visualizations
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| Peter Simpson is our VP Research & Development. He is responsible for all development, pre-sales, support and consulting activities.
Peter held several senior positions at Instant Information before joining Panopticon.
Before that, he held positions within, IT, Equities and Research at HSBC Global Banking and Markets.
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| Hugh Heinsohn is our VP Marketing. He has over 20 years experience working with software companies and telecoms equipment manufacturers. |
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Date Recorded: |
Tuesday, October 21, 2008 |
The Treemap and its cousins — the Heat Map and Heat Matrix — are some of the most useful data visualizations available for analyzing large datasets.
Peter Simpson , Panopticon's VP Research & Development, is one of the most knowledgeable people on staff regarding how to best use each of these information visualizations. He and Hugh Heinsohn , our VP Marketing, will explain how to interpret the information displayed in Treemap, Heatmap and Heat Matrix visualizations and also explain how to select the appropriate visualization based on the nature of your data.
They will use a wide variety of datasets from our Demo Gallery in this webinar to explain the relative advantages of each approach.
Our Developer SDK and our Enterprise product both offer Treemap, Heat Map and Heat Matrix visualizations. They may be deployed in web-based or thick client desktop applications. The SDK also allows programmers to embed these tools into their own existing applications in either Java or .NET environments.
Our Treemap, Heat Map and Heat Matrix visualizations work with our StreamCube™ OLAP Data Model to support extremely fast filtering, slicing and dicing, and analysis of your data.
What you'll learn in this webinar:
- How to interpret data presented in Treemap, Heatmap and Heat Matrix data visualizations
- How to select the best visualization for your specific data set
- How to look at the same set of data in many different ways in order to fully understand correlations, patterns and trends
Who Should Attend:
- Business Intelligence Professionals
- Chief Technology Officers
- Product Managers
- Analysts
- Researchers
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