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Designing Enterprise System Information Architecture Using Task Data

  • Dawei HuangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9191)

Abstract

Much of today’s information architecture for enterprise tools is organized in a complex and feature oriented way – frustrating the users and requiring tons of learning to be efficient. We introduced a task taxonomy research project that studied a few hundred database users to understand their responsibilities, roles, and tasks. We created a task taxonomy model filled with large quantitative data on tasks. We found task hierarchy emerged from the model and it had a strong relationship with user roles – implying role-based workspace design principles. With the task hierarchy data, the degree of relevance of task hierarchy could be estimated and applied for enterprise information architecture designs.

Keywords

Task taxonomy Information architecture Enterprise Database management tasks Database users 

Notes

Acknowledgements

I’d like thank Dave Campbell, Dave Nettleton and Shawn Bice for project sponsorship, Mark Stempski, George Engelbeck, Candace Soderston, Lisa Mueller, Aimee Freeding, Nate Gunderson and Buck Woody for data collection and model discussions.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Microsoft CorporationRedmondUSA

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