GOTO is a vendor independent international software development conference with more that 90 top speaker and 1300 attendees. The conference cover topics such as .Net, Java, Open Source, Agile, Architecture and Design, Web, Cloud, New Languages and Processes

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Doug Talbott, Product Design Consultant, Bedarra Research Labs

Doug Talbott

Biography: Doug Talbott

Doug Talbott is a product design consultant with Bedarra Research Labs (BRL) specializing in the research and development of user interface designs and advanced visualization solutions for complex systems.

He has over 25 years of experience in producing and/or managing the development of award-winning content, visual design, user experience design and instructional design for organizations such as Cognos, IBM, Department of National Defence, Department of Finance, Secretary of State, Nortel Networks, OTI, Carleton University, and Honeywell Information Systems.

He holds numerous design patents. Most notably, he is a co-inventor of the visual language for iLog’s Telecom Graphics Objects (TGO) product – the defacto visual standard in telecommunications management user interfaces.
 
Doug holds a B.F.A in Communications Design. He teaches graphic design part-time at Online-Learning.com and is a regular guest lecturer at Carleton University’s Human Oriented Technology (HOT) Lab.
 
Software Passion: Making the world of software, a better place for people

Presentation: Explorations in Interactive Visual Analytics: Supporting Analysis and Data Visualization at Scale

Track: Leading & Bleading Edge - Day 2 / Time: Tuesday 11:30 - 12:20 / Location: Kammersalen

Working effectively with large volumes of data presents challenging technica​l and human factors ​issues. For example, how can today's analyst iteratively process, display and explore 10s of​ millions records in order to identify new trends or patterns. Over the last few years, Dave and Doug have been wrestling with some of the more pragmatic aspects of trying to build and deliver a big data analytic solution that meets the needs of the typical analyst.

In this talk, they will discuss several of the ​technical and human factor issues with making big data accessible to the data scientist or analyst. Topics covered will include what type of interactive analysis support is required for large datasets, what types of visualizations are needed for big data, what type of scripting or programming support is needed for analysts, how to address the typical analyst task flow in a big data solution and the need for non-linear task flow support. In addition, they will discuss some of the generic ways of dynamically visualizing data and the fundamental principles of good visual design for data.