Question: don't answer yet Figure 6.5 Full Alternative Text 0 A big data service was developed with user-customizable reports. Customization played a crucial role in the

don't answer yet

don't answer yet Figure 6.5 Full Alternative Text
Figure 6.5 Full Alternative Text 0 A big data service was developed with user-customizable reports. Customization played a crucial role in the design. Users involved in the process knew they would be able to choose features and rearrange views based on market-to-market differences. The study showed how following a user-interface development paradigm or development methodology led to a successful result that had buy-in from a distributed set of users. Indeed, if brokering organizational support is desired for a new innovation or product, a design-thinking workshop of the sort practiced in this use case can be an effective technique. The performers of the study learned to first identify sources of data while empowering the stakeholders of the data to choose what data they could use (and how) in order to get their jobs done. Also, there were discussions in the workshops to analyze the data outputs. The final output was corporate big data policies that led to stakeholder-customizable report formats to better improve internal corporate communication and decision making. The tool is now used in all European Volvo truck dealerships. Observations There are some general observations worth making here. What was essentially a process for developing a big data analysis strategy, service design, and supporting tools for a company to use to increase internal communication and profitability turned out to apply methods and processes taken from the world of user experience design and designing user interfaces! The authors applied a well-known methodology and an interface design paradigmthe process worked. Often, user-interface processes are applied to business processes without the persons leading the change realizing its origin. For example, to analyze patient flow in a hospital (patient recordkeeping, scheduling of resources, service bottlenecks, prioritization of patient needs, etc.) may sound to some like a simple database or queueing problem or an application of business-process reengineering. However, when humans are mixed with sources of diverse data often in a time-sensitive environment, quick and easy access to critical data can make an organization run more smoothly, better allocate resources, and lead to better decisions to improve customer satisfaction and patient outcomes. \"Knowing thy user,\" optimizing access to meaningful data, iteratively gathering feedback data, getting stakeholder buy-in, and so on, can all be accomplished using user-interface design and development methods as was performed in this case study

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