Top Featured Cloud Architecture Companies

All Cloud Architecture Agencies in Luxembourg

List of the top Cloud Architecture Agencies in Luxembourg

Top Cloud Architecture Companies in Luxembourg

DataStema helps companies unlock the value of data by making it easy to standardize, automate and deploy effective end-to-end data solutions.

DataStema Sàrl

Accenture facilitates change through custom cloud services and solutions that accelerate innovation, intelligence, and value across enterprises. Learn more.

Data Essential

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ARCO - architecture company, bureau d'architecture et d'urbanisme à Luxembourg

Arco - architecture company

GERNE Technology SARL

Profinit is one of the leading companies in Custom Software Development, AI &amp; Data Science, Consulting and IT Outsourcing. IDC Research ranked Profinit as the 3rd largest custom application developer in the Czech Republic.Key clients: Erste Group, O2, BNP Paribas, KBC Group, Vodafone, Deutsche Telekom, Raiffeisenbank, Allianz, Société Générale, Prague Airport, CEZ Group, VIG (Vienna Insurance Group), Edenred, ING, NN, Darag, M.M. Warburg, Amplifi Capital, Confirmo, Bottomline, Nord/LB, BerenbergProfinit's services:- Custom software development- IT Outsourcing &amp; Nearshore services- Application management outsourcing- BI/DWH design &amp; development- Data science and AI- Enterprise integrationProfinit's primary clients include banking, insurance, pharmaceutical and telecommunications companies in Central and Western Europe. The company also services a number of other private and public-sector organisations.Clients use Profinit's services and products in Germany, Austria, Benelux, the UK, and other countries, where Profinit operate in the nearshore mode.The company develops and maintains vital Internet banking systems and other bank applications, insurance policy management systems, B2B and B2C portals, EPM systems, fraud prevention solutions and even a mission-critical software system for an international airport.For more information visit the following websites:- https://profinit.eu- https://bigdataforbanking.com- https://systemsmodernization.com

Profinit

Our client, Raiffeisenbank CZ, offers an outstanding online service and is continuously pushing out new products to meet customer needs and expectations.The bank was keen to maintain its position in the industry, so we looked at how we could use state-of-the-art technology to help them.Working alongside our client, we asked the question, “How can we use this collected data fully, in a way that enables us to offer bank customers an even better service?” Our answer came via applying advanced data analytics and machine-learning methods to the problem – enabling us to make competitive loan consolidation offers to the right customers.

Competitor loans consolidation for Raiffeisenbank

The UK fintech company My Community Finance, the most prominent lender in the UK credit union sector, was looking for a strategic partner in machine learning and data analytics.The first step to achieving the ultimate optimised underwriting process with a personalised offer was to build a behavioural model to predict the probability of acceptance of each client quote with the given parameters.Profinit accepted a request for proposal (RFP) by My Community Finance in the form of a contest to get the best prediction results from an anonymised dataset. Our data science team successfully tackled the challenge and delivered the best model out of all the competing vendors within two weeks.

Increasing acceptance rate via machine learning

Our long term client Raiffeisenbank CZ was looking for the complex delivery of a big data Hadoop platform to enable the bank to perform analytical business use cases across large amounts of transactional data. Computations of such massive volume are not possible to achieve by standard DWH capacity. For this reason, a brand new parallel processing big data platform had to be built from scratch. Tools for solving business cases with data science – and their implementation into the client’s environment – were needed as a part of the solution.Profinit came up with analytical use cases and began designing and implementing a complete, end-to-end analytical solution. Together with bank data in-house specialists, the Profinit team selected the suitable hardware, sizing and the right variant of Hadoop distribution. The Profinit DATA_FRAME Automation tool was used for the fast design of the architecture and implementation.