Adobe

Färm

Nespresso

Yale

Amazon

Audi

Estee Lauder

Netherlands

Reclame

Artificial Intelligence

Audio Productie

Blockchain Ontwikkeling

Branding & Positionering

Cloud Consulting

Community Management

Content Strategy

Copywriting

Bedrijfscommunicatie

Cyber Security

Data Consulting

Digital Strategy

E-commerce

E-mail Marketing

Ergonomie (UX / UI)

Evenement

Game Ontwikkeling

Ontwerp

Grafische Identiteit

Growth Marketing

Influencer Marketing

Innovatie

Marketing

Marktonderzoek

Media Planning

Mobile App

Motion Design

Online Advertising

Outdoor Reclame

Packaging

Fotografie

Print

Product Management

Public Relations (PR)

Social media

Software Ontwikkeling

Video Productie

Web analytics / Big data

Web Applicatie

Website Administratie

Website Creatie

Waarde opnieuw uitgevonden. Apex Systems is een technologiebedrijf van wereldklasse dat branche-inzichten en ervaring integreert om oplossingen te leveren die voldoen aan de digitale visies van onze klanten.

Apex Systems

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Onze gecertificeerde cloudarchitecten en DevOps-ingenieurs implementeren oplossingen die gericht zijn op het verkorten van de time-to-market, het vergroten van de flexibiliteit en schaalbaarheid.

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Utrecht

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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.

Big data platform for Raiffeisenbank

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