Next to being an external force, IT innovations can help to arrive at the desired business model. But there are many IT innovations. How can you find the one that delivers the requested benefits. |
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Nowadays a business case and trial and error is the standers.
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What if the impact of the IT innovation on the business model was already known!? |
This is a research focusing on the banking sector and on these six IT innovations:
- Software as a Service
- Advanced Analytics Enterprise Data
- Enterprise Mobile Apps
- Automatic Content Recognition
- Gamification
- Big Data
Software as a Service
Application software provided as a web-application, used in a multi-tenant model and purchased on a pay-for-use basis.
Application software provided as a web-application, used in a multi-tenant model and purchased on a pay-for-use basis.
Advanced analytics on enterprise data
applying statistical techniques on complex data sets to find patterns and correlations between variables. Typical examples are outlier detection, clustering, pattern recognition and link analysis.
Enterprise mobile appsApps on mobile devices which support business processes, either for internal use or as a channel to customers.applying statistical techniques on complex data sets to find patterns and correlations between variables. Typical examples are outlier detection, clustering, pattern recognition and link analysis.
Gamification
The use of game design techniques in non-game business contexts, for example by using points, achievement levels and leader boards. The concept is used to stimulate people to higher levels of engagement or to motivate people to perform tasks they would otherwise consider boring.
Big dataThe use of game design techniques in non-game business contexts, for example by using points, achievement levels and leader boards. The concept is used to stimulate people to higher levels of engagement or to motivate people to perform tasks they would otherwise consider boring.
Data too large to be processed by traditional database management and analysis tools. Apart from volume, other characteristics of big data are: velocity (rapidly changing) and variety (heterogeneous content)
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