As mobile computing slowly moves toward becoming dominant over traditional desktop use, the technology itself must grow and expand in order to remain useful and relevant. For example, major mobile operators like Verizon continue to roll out 4G LTE service in more areas of the United States in order to offer greater data speeds to users while increasing adoption of BYOD (bring your own device) at companies provides business users with greater mobile freedom.
Furthermore, the blending of mobile, social and cloud technologies has created a new set of expectations from consumers who are getting used to immediate responses to questions, comments and concerns. As such, Maribel Lopez — founder of Lopez Research, a provider of market research, speaking and strategic consulting services — recently suggested that Right Time Experiences (RTE) may be the next step in mobile evolution.
Lopez describes RTEs as "enhanced business processes or services that deliver an employee or customer the right information at the moment of need." In other words, by combining application or process data with contextual data, RTEs can provide a better end-user experience. Mobile factors into the equation by helping to supply the contextual data necessary to make RTEs work, whether by way of apps or the cloud.
For example, RTEs could be used to keep temperature in check in a data center — much like with a traditional thermostat. However, with more advanced technology and data available, the process will be able to determine if the air conditioning is inoperable and can then generate a request to a maintenance company unprompted.
In this way, RTEs are more advanced than simply shrinking existing business process into mobile applets as they instead change the process to take advantage of mobile attributes, coupled with real-time, large scale data analysis. Furthermore, RTEs differ from simply providing real-time data in that they are targeted and predictive, as they are able to analyze prior actions and events, ultimately learning and adapting to user behavior over time. In this way, RTEs can provide the same functionality as dedicated apps but invisible in the background, with no learning curve for the end user.
RTEs are also integrated across internal data sources, rather than operating in information silos like most apps. They are not restricted to internal data, however, as they can connect to external data sources as well.
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Edited by Brooke Neuman