Abstract
This paper describes and makes a case for a data driven user experience design process for Enterprise IT. The method described employs an approach that focuses on defining the key modules (objects) in an enterprise IT software and the data sets used by these modules very early in the design process. We discuss how mapping parent child relationships between key entities in the software and the linked data helps create a holistic view of the product ecosystem which in turn allows the designer to create an uncluttered information architecture and user journey that maps closely to mental construct of the system in the user’s mind. We further argue that in the present age of big data, working with well-defined data sets and visible data relationships creates a valuable information repository for the designer to take decisions regarding task optimization and building business intelligence in the system itself. We also discuss the urgent need, advantages and methods of ‘consumerizing’ the Enterprise UI to increase users productivity and reduce the learning curve. Lastly, these ideas are exemplified through a real life case study for an enterprise server management system.
Chapter PDF
Similar content being viewed by others
Keywords
References
Moore, G.: Systems of Engagement and the Future of Enterprise IT: A Sea Change in Enterprise IT. AIIM White Paper (2010)
Lara, Z.: Enterprise Software History, Part 2: Minicomputers to the PC, http://blog.softwareadvice.com/articles/enterprise/software-history-part-2109062011/
Delic, K.A., Dayal, U.: Adaptation in Large Scale Enterprise Systems. ACM Ubiquity 2004, p. 1 (August 2004)
Structure, Models and Meaning: Is "unstructured" data merely unmodeled?, Intelligent Enterprise, http://www.informationweek.com/software/information-management/structure-models-and-meaning/d/d-id/1030187
Fisher, D., DeLine, R., Czerwinski, M., Drucker, S.: Interactions with Big Data Analytics. ACM Interactions 19(3), 50–59 (2012)
Gartner Predicts by 2017, Half of Employers will Require Employees to Supply Their Own Device for Work Purposes, Gartner, http://www.gartner.com/newsroom/id/2466615
Moschella, D., Neal, D., Opperman, P., Taylor, J.: The ‘Consumerization’ of Information Technology. CSC Research White Paper, El Segundo (2004)
Generation, Y.: They’ve arrived at work with a new attitude. USA Today, http://usatoday30.usatoday.com/money/workplace/2005-11-06-gen-y_x.htm
The consumerization of IT: The next-generation CIO. PwC Center for Technology and Innovation Report, 3-6 (2011)
Gillett, F.: Forrester, Employees Use Multiple Gadgets For Work — And Choose Much Of The Tech Themselves, http://blogs.forrester.com/frank_gillett/12-02-22-employees_use_multiple_gadgets_for_work_and_choose_much_of_the_tech_themselves
Mcree, J.: UX for Enterprise: Part I. Universal Mind, http://blog.universalmind.com/ux-for-enterprise-part-i/
Krieger, M.: Revolution or Evolution: What is Big Data’s impact on enterprise information systems? Enterprise CIO Forum, http://www.enterprisecioforum.com/en/blogs/mrkrieger/revolution-or-evolution-what-big-datas-i
Pierce, B.: What is Object-Oriented Programming? Types and Programming Languages. MIT Press (2002)
Kolko, J.: Abductive Thinking and Sensemaking: The Drivers of Design Synthesis. MIT’s Design Issues 26(1) (Winter 2010)
Nazarian, S.: Enterprise UX - How can we transform enterprise user experience to be more mobile, flexible, and responsive? Design Mind, http://designmind.frogdesign.com/articles/enterprise-ux.html
Saffer, D.: Designing Microinteractions, Microinteractions. O’Reilly, 2 (2013)
Gmail, http://www.gmail.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Pandey, S., Srivastava, S. (2014). Data Driven Enterprise UX: A Case Study of Enterprise Management Systems. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Knowledge in Applications and Services. HIMI 2014. Lecture Notes in Computer Science, vol 8522. Springer, Cham. https://doi.org/10.1007/978-3-319-07863-2_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-07863-2_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07862-5
Online ISBN: 978-3-319-07863-2
eBook Packages: Computer ScienceComputer Science (R0)