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.
One of my favorite areas in ADF Faces always has been the Data Visualization [Tags] aka DVTs. I feel that we make far too little use of the power of visualization to present information and even call to action to our end user instead of raw data – as we frequently do today. The table component is probably the most widely used component in all of ADF Faces – even though it is most often used to just present raw data. The DVT components in stark contrast are overlooked or regarded as just a nice to have. I hope to bring about a change – making designers, developers and end users themselves more aware of the value of visualizations. Oracle Fusion Applications and especially the simplified UI provides an excellent example of how visualizations can be used to help end users focus on what is relevant: aggregate, exception, trend, comparison etc.
ADF 12.1.3, freshly released, brings a next wave of enrichment of the DVT components. Allowing developers to create even more useful and appealing visualizations. In this article, I want to describe and show some of these new features.
One of my favorite areas of ADF is Data Visualization. The rich, interactive and (un)usually attractive components that allow me to spice up an ADF application in a very easy straightforward way have a special appeal. We all know that pictures speak volumes. And that a plain table presents data while a carefully designed visualization presents information and perhaps even a call to action. One of my highlights during Oracle Open World 2012 was – not surprisingly – the presentation by the ADF DVT team – Katrina, Hugh and Jairam – together with Yiannis and Vangelis from PCS in Greece who built a wonderful ADF application for private investment management, with beautiful and very effective data visualizations all over the place.
The story of ADF DVT is one that started probably even before ADF with the BI Beans and before that perhaps even with Oracle Graphics. However, forget about all that history and look to the present and the future. No presentation of Fusion Applications is held without showing off its many data visualizations as a means to turn data into information and information into action. Drawing the user to exceptions, deadlines, alerts, patterns and items to act on is part of the essence of Fusion Applications and DVT is instrumental in making that real. The support for DVTs on tablet – with support for HTML 5 Canvas instead of Flash for rendering interactive graphs and with multi-touch and gesture handling – introduced in in PS 5 is pretty impressive. The support of DVTs in native ADF Mobile applications is cool and so is the continuous evolution of the set of components available for Data Visualizations.
Below an apparent prediction of the US presidential election using the Thematic Map …
Another article on analyzing and visualizing the results from the Tour de France 2011 using the ADF DVT components. This article uses the same set of data already discussed in several previous articles – including the standings per stage as well as the overall standings after each stage. This article will focus on using the combination graph, the bubble graph and the high/low (aka stock) chart for taking a closer look at speed, length and withdrawals (and any connection there can be between these aspects).
Some of the pretty pictures created in this article: