Analysis of 30 visualization tools
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The document analyzes 30 web tools for data visualization and distills them down to focus on tools already implemented and used in online communities. It examines each tool to understand their key features, functionality, and type of feedback provided. The main criteria for selection considers the number and combination of feedback types provided to reduce the number of visualization tools while covering all individual feedback types.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Analysis of 30 visualization tools
- 2. FEEDBACK VISUAL.TOOLS Bubble BulB Change TreeMap Chat Circles Chat Circles II Chat Scape CommentFlow CommentTree Copresence X X X X Cotemporality X X X Mobility X Simultaneity X X X Sequentiality Visibility X X X Relevance Structuring X Contextualization Profile Social/ organizational structure X X
- 3. FEEDBACK VISUAL.TOOLS Communication Garden System Conversation Map Coterie Email Map Exhibit Flowergarden ForumRedear Copresence X Cotemporality X Mobility Simultaneity X Sequentiality Visibility X Relevance X Structuring X Contextualization X Profile X Social/ organizational structure X X
- 4. FEEDBACK VISUAL.TOOLS HistoryFlow Loom NewsGroup Crowd and AuthorLines PeopleGarden PostHistory and Fragments SocialAction TagCloud Copresence Cotemporality Mobility Simultaneity Sequentiality X X Visibility Relevance X Structuring Contextualization Profile Social/ organizational structure X X
- 5. FEEDBACK VISUAL.TOOLS TheMail ThemeRiver TimeLine TimePlot TimeVis TreeMap WikiDashboard Wordle Copresence Cotemporality Mobility Simultaneity Sequentiality Visibility Relevance X X X Structuring X Contextualization Profile Social/ organizational structure X
- 7. FEEDBACK VISUAL.TOOLS Chat Circles II Comment Flow ConversationMap Exhibit PeopleGarden Wordle Copresence X Cotemporality X Mobility X Simultaneity X Sequentiality X Visibility X Relevance X Structuring X Contextualization X Profile X Social/ organizational structure X
Editor's Notes
- In this table I show you all the vis.tools analyzed. These tools represent our benchmark in order to define and design the tools to insert in the Debate Dashboard. We analyzed them on the basis of the feedback that we have identified. In this table we want to indicate for each tool what kind of feedback they provide.
- In this table I show the visualization tools that we selected. In other words, this is the output of our literature review. as main criteria for the selection of the visualization tools, we considered: the number of feedback that each of them provides, in order to reduce the number of used visualization tools; the combination of feedback, in order to provide all individualized ones. As output we selected six visualization tools (see table 2 pg. 13). Clearly, we consider these selected tools as a sort of starting point. Indeed, our aim is the improvement of them through the addition of further features and functions in order to make them more effective in providing feedback.