Leave nothing to chance in this digital age !
The exponential growth of the Big Data market requires that it be studied carefully, both globally and by each industry. The damage insurance market has always been very competitive. Until recently, this competition was played out at the local level. But not anymore. The landscape is changing very quickly !
The AMF underlines that the use of infrastructure technologies that are specific to Big Data «will promote customer engagement and retention».
Does your data have a record of good behaviour?
As an insurer, the analysis of data, consumed or generated, and the measurement of the risk constitute your day-to-day work. The data and big data you collect will continue to grow and will be stored on your servers.
Take control of your data!
To each his trade. Yours is to offer protection against all kinds of risks. Ours is to assist you in the management of your data to provide innovative, proven, efficient, reliable, scalable and secure technological infrastructure solutions.
ZONETI’s services and solutions are tailored to your specific needs to meet all the challenges of Big Data.
The keys to a successful adaptation
Recognize that the market will change again and again… If you pass a single straight line between two points, the analysis of the Big Data market combined with the identified heavy trends affirms that its accelerated growth will continue.
To this end, as an organization, the adoption of these new technologies – which has already begun for some – will allow you to remain competitive, without forgetting that it will also be necessary to subscribe to the continuous adaptation…
Reaching the consumer where he is is becoming imperative. Traditional channels of communication are not enough anymore. We are in the age of multichannel supply.
The contemporary consumer is more and more familiar with technological tools – mobile phones, computers, tablets – whose use is constantly increasing.
By studying his behavior online, we can adapt to his needs, understand them and even anticipate them (predictive analysis).