Product Design ConsultantBedarra Research Labs
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.
Talks I've Given
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Explorations in Interactive Visual Analytics: Supporting Analysis and Data Visualization at Scale
Featuring Doug Talbott
Working effectively with large volumes of data presents challenging technical 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, we have been...
big-data -
Explorations in Interactive Visual Analytics: Supporting Analysis and Data Visualization at Scale
Featuring Doug Talbott
Working effectively with large volumes of data presents challenging technical 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, we have been...
big-data -
Explorations in Interactive Visual Analytics: Supporting Analysis and Data Visualization at Scale
Featuring Doug Talbott
Working effectively with large volumes of data presents challenging technical 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, we have been...
big-data