2 Analyses kausalanalyse of more efficient business processes focused on the predictive analysis te

"... The first Dynamic data storage and sharing of the insurance sector is already fairly data-intensive industries in, but the amount of data to be processed will increase exponentially in the future. The companies huge amounts of data - both external and internal sources derived ones - should be able to handle all the order process, such as customer service, improve product development, as well as to regulatory expectations.
Since the data is not always available when and where and when they are needed most, and therefore the effective distribution of data, particular emphasis should invest in companies. This allows, inter alia, the so-called cloud computing (cloud kausalanalyse computing), a stock which allows programs to work with and we are not physically on your own machine, but on the Internet, at an undisclosed location somewhere in the "cloud."
2 Analyses kausalanalyse of more efficient business processes focused on the predictive analysis techniques can get to changing customer needs while of particular kausalanalyse importance, kausalanalyse however, can be even more effective if they become an integral part of business processes. These analytics can improve marketing and distribution activities by helping the most suitable product for the client in choosing to cut through the sales process, increase cross-selling, improving the conversion rate. In addition, product innovation will be more effective kausalanalyse if the analysis also forms part of the mix. The predictive analysis tools and spreading behavior of a given product, price changes can be anticipated, or real-time insight into product development, while allowing the fine-tuning of the thread.
3 Cloud computing: creating value through advanced business applications and services, the so-called cloud computing (cloud computing) will induce the enterprise computing kausalanalyse at least as many changes as took place in the 80s PC revolution. But there are many problems that the older systems can not simply move these "clouds".
In parallel with the variety of applications development, these clouds increasing use will bring the insurance industry, for example, a cloud-based kausalanalyse service design, allowing a risk assessment based on automatic location data, is also integrated into the contracting process, more accurate pricing to allow.
Instead of server-centric architecture for fourth service-oriented architecture, flexible and responsive business models Accenture is one of the insurance industry survey showed that industry analysts say about 91% of the technology is critical for the industry, more than half According to the technology kausalanalyse used today is in need of significant improvement. In order to achieve the business objectives of the current application architecture based servers should be replaced with one that is built around the services.
5 Reflexive IT security, which identifies and prioritizes the gaps and weaknesses kausalanalyse of the insurance companies has always been a cause for concern security kausalanalyse of customer data, but it is now - has data protection a top priority - the increased regulatory standards, and has been publicly disclosed fraud cases due . The amount of data increases, the guarantee of security is becoming increasingly difficult to achieve, and the 100% security seems increasingly irreálisabb purpose. kausalanalyse Insurers must instead apply a pragmatic approach that best reflects the value chain in different parts of emerging needs.
To this end, companies should focus on the shortcomings and weaknesses, and where possible, should dispense with the possibility of human intervention that is most to blame for the security problems. Among insurers spread of new technologies, the role of automatic and embedded IT security will continue to increase, rather than an ad hoc response, which must be accompanied also trainings.
6 Risk-based approach to data protection As well as security, privacy can not be 100% guaranteed. However, due to regulatory requirements and customer expectations may be a violation of personal data very serious consequences for the overall corporate reputation can destroy. Companies should therefore be aware that that should apply a risk-based approach to the management of their most vulnerable point, and customer information. The new online channels kausalanalyse - including social media - is becoming even more important in the appearance of the data protection and compliance with the regulations and laying. kausalanalyse
In order to use the Business Intelligence Platforms kausalanalyse 7 Community boosting and building new customer channel Consumers are increasingly