We’re really excited here at Beyond as it’s now only a week to KSCOPE in Seattle !
We’re also really delighted that this year we are represented by Mark Daynes, who is going to be giving a completely live ground-up demo of building a project with Data Visualizer. This session is completely focused on starting with nothing and gradually building up to an enriched picture of the data leading to the discovery of some key insights. This session is ideal if you want to know more about the Data Visualisation components of Oracle Analytics Cloud (OAC) and want to see a guided journey in action.
Oracle’s latest Data Visualization tools provide a platform for rapid and confident data analysis. It is not just the increasing power of the tools that is attractive to customers, it is the ease of use and also the quality of the outputs that make this a great tool to use to comment upon data and share results. In this live demonstration we will take the participants on a whistle-stop journey from a blank canvas to a fully narrated, drillable multi-canvas analytic solution sourced from a dataflow taking several data sources (cloud and local) and enriching and blending them in order to find some key insights. The attendees should come away with an appreciation of a huge range of capabilities of the tools, some thoughts on how they can apply the techniques shown to their own data, and also the knowledge that they can do this relatively quickly.
Session Details :
Session Number: 8011
Track: EPM Reporting, BI Analytics, and Data Visualization
Sub-Categorization: Data Visualizations
Session Type: Tips, Techniques and Tuning
Primary Presenter: mark daynes [Director – Beyond Systems Ltd]
Time: Jun 25, 2019 (03:45 PM – 04:45 PM)
Room: 3A, Level 3
For more details see here : https://kscope19.odtug.com/e/in/eid=32&s=2579&print=1&req=info
Beyond will be on site for the whole conference and we’d love to meet anyone who want to ask us any questions about how to run successful analytics projects that are adopted by the business.
Drop us an email at email@example.com. You can contact Mark on Twitter @DataVizMark