News

One of the major goals of the BigDataStack project is to build and give access to a set of data services to facilitate the ingestion of big data as well as its exploration through analytics.

Regardless the business you are involved in, the shared aim is one, to make your data less “big” or… to reduce the number of queries you run to process your data!

Enterprises today often have to use different database systems to fulfil different purposes, combining data coming from different data sources is not an easy task, while moving data from one source to the other is cost-demanding and requires ETLs and offline batch processing, which are often performed at night. Existing solutions today for polyglot applications often introduces the concept of datalakes or implements a federation on top of different sources in order to provide an easy way for common access. However, all these solutions are referring to different data sources, while for federation they are using technologies like Spark, which can be very resource consuming and cannot exploit the specific capabilities of each different data store.

Insurance companies increasingly need IT data-based solutions in order to address their needs about the provision of services according to the customer “tailored” requirements. The challenge is to allow insurance companies to better develop the customer management, by providing personalized services to the customer, as well as new corporate services for the handling of the customers’ profitability. A multi-channel scenario will be developed by GFT which will facilitate data analytics-powered smart insurance, providing a 360-degree view of the customer and personalized services. GFT will collaborate with HDI Assicurazioni, part of the Talanx Group of Hannover, for its adoption.