Benefits of service interface in embedded sw
Answers
User Interface (UI) and User Experience (UX)
Data Blending and Mashups
Process Optimization
UI and UX
With respect to UI and UX, the primary benefit is what Hopkins calls “the seamlessness of user experience.”
Traditionally, users have had to rely on separate tools, some of which were applications supporting business processes (e.g., CRM systems, order management systems etc.), whereas others were applications dedicated to analytics.
Now, a sales manager can simply log into a standard CRM system and make data-driven decisions using tools natively embedded within the suite.
Data Blending and Mashups
Data blending and mashups are a related benefit of embedded analytics.
Blending data from different sources for analysis is still a daunting technical challenge compared to analyzing data from a single source.
While business applications frequently enable users to visualize data captured by the application (e.g., sales figures in a CRM system), they frequently lack the ability to combine this data on the fly with other data sources.
Erfan gives a good example specific to the role of sales manager: “I may have an Excel spreadsheet on my desktop that shows me goals, and an application that shows me my progress toward these goals, but I still have to manually compare the analytics with which the software provides me with my Excel spreadsheet.”
In this case, the manager could make a better-informed decision by blending the Excel data with the application data, but this kind of data integration generally demands embedded analytics.
Process Optimization
Additionally, embedded analytics such as dashboards can facilitate process optimization.
Answer:
Many of the benefits offered by embedded analytics will be specific to the business application to which they’ve been added, but there are a few overarching trends in the areas of:
User Interface (UI) and User Experience (UX)
Data Blending and Mashups
Process Optimization
UI and UX
With respect to UI and UX, the primary benefit is what Hopkins calls “the seamlessness of user experience.”
Traditionally, users have had to rely on separate tools, some of which were applications supporting business processes (e.g., CRM systems, order management systems etc.), whereas others were applications dedicated to analytics.
Now, a sales manager can simply log into a standard CRM system and make data-driven decisions using tools natively embedded within the suite.
Data Blending and Mashups
Data blending and mashups are a related benefit of embedded analytics.
Blending data from different sources for analysis is still a daunting technical challenge compared to analyzing data from a single source.
While business applications frequently enable users to visualize data captured by the application (e.g., sales figures in a CRM system), they frequently lack the ability to combine this data on the fly with other data sources.
Erfan gives a good example specific to the role of sales manager: “I may have an Excel spreadsheet on my desktop that shows me goals, and an application that shows me my progress toward these goals, but I still have to manually compare the analytics with which the software provides me with my Excel spreadsheet.”
In this case, the manager could make a better-informed decision by blending the Excel data with the application data, but this kind of data integration generally demands embedded analytics.
Process Optimization
Additionally, embedded analytics such as dashboards can facilitate process optimization