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Certificate AAA Platinum Excellence 2023

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Gartner recognizes Profinit in accelerated technology modernization

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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. We are part of Amdocs, a global leader in software and services for communications and media enterprises. This allows us to combine deep technical expertise with global resources and deliver innovative, tailor-made solutions that meet the specific needs of our clients.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 &amp; 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 organizations.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

Equa bank – a fast-growing Czech challenger bank and long-term Profinit partner – asked our team to create a propensity-to-buy scoring model (hereafter “propensity model”) that would help identify clients likely to apply for future consumer loan products. The project involved compiling data from the 2-year transactional history of 400,000 Equa clients as well as analysing the socio-demographic and product information available for this specific group.

Propensity-to-buy scoring for loans offers

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.

Big data platform for Raiffeisenbank

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