Data Driven Enterprise UX: A Case Study of Enterprise Management Systems

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.

Towards a User Experience Framework for Business Intelligence

“…It is also important to put the right interface in the hands of the right users as stated by Interview person C which is also mentioned by Agiu et al 2 ,stating that the content presented in a BI interface needs to be accessible to the intended users. Interview person C also confirms that it can be challenging to teach new functionalities to users, which is also mentioned by Pandey and Srivastava 13 , and Walsh et al 21 , who say a too steep learning curve is a negative factor for user acceptance, usability, and UX. Interview person B mentions that the design of BI systems interfaces is often disregarded by the client company of the project.…”

“…The study was also able to confirm that the age of users can be an indicator on the level of UX requirements as mentioned by Pandey and Srivastava. 13 From the evaluation interviews it became clear that younger users normally have higher requirements on graphical aspects as well as usability aspects of BI systems interfaces. It also became clear that UX in BI systems can be a factor for motivating increased data consumption by providing a positive experience for the users.…”

“…1 Hence, to be able to cater toward the specific needs of BI system users, a UX framework specified toward BI systems is needed to meet the requirements from an industry that demands real-time intelligent analytics. 13 Such a framework could lead to improved work performance of decision makers and increased BI system competitiveness for BI development companies.…”

“…20 Important information presented in the user interface of BI systems needs to be accessible to the user for effective usage. 2 The user interface needs to be adapted to the end user's needs in which usability factors (e.g., efficiency, learnability, and memorability) should also be taken into account 13,21 , as the user interface directly affects the productivity of the user.…”

Data distribution in public veterinary service: health and safety challenges push for context-aware systems

“…A data set is knowledge complete for a user type in a situation if from this data set and from standard background knowledge for that user type, one can derive how much the area is departing from its standard and acceptable states, the possible risks as well as short and long term consequences. A data set is action complete for a user type in a situation if from this data set and from standard background knowledge for that user type, one has all the knowledge needed to develop an optimal plan of actions to achieve its goals [ 76 , 77 ]. Note that knowledge and action completeness are distinct: the first focuses on understanding the situation and how it may evolve, the latter takes into consideration the user’s aims and its action capacities.…”