Creating Intuitive & Interactive Dashboards with the ADF Data Visualization Components


Last week I presented at the UKOUG’14 conference on creating intuitive & interactive dashboards with the ADF Data Visualization Components. Frequently end-users are overwhelmed with too much and confusing information displayed in rows and columns. It can be difficult to quickly get the relative significance. This session discussed how to create intuitive, interactive dashboards made with the ADF Data Visualization Components. You can use of the power of visualization to present information; to call the end-user to action instead of presenting raw data – as we frequently do today. Visualizations can be used to help end-users focus on what is relevant: aggregates, exceptions, trends, comparisons e.g.

This blog posts the slides from this session.



The agenda of this session:

  • Why data visualization is important
  • Examples where DVTs are used
  • Graph demo: ADF Performance Monitor
  • Basic steps creating a graph (ADF11g)
  • Special features
    • Mouseover info
    • Alerts,
    • Reference line,
    • Animation 3D,
    • Clicklistener,
    • Hide and show,
    • Dual graphs
  • Advanced Graph Examples
    • Bubble
    • Spark
    • Treemap
  • Other Tips & Challenges
  • 12.1.3 DVT Components

You can download the slides here UKOUG_Creating Intuitive & Interactive Dashboards with the ADF Data Visualization Components


About Author

Frank Houweling is an Oracle ADF, Java and performance specialist. During the past years he has been requested several times as troubleshooter of ADF projects with bad performance. As such he has been performing performance analysis, bottleneck detection and developing mitigating solutions based on these analysis. He is also the creator of the ADF Performance Monitor, an advanced monitor that can identify, report and help solve performance bottlenecks in ADF applications.

Comments are closed.