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Profinit

DevOps, Data Engineering, Data Science, Cloud Consulting, Software-Entwicklung
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Unternehmensdarstellung

Profinit is one of the leading companies in the field of Software Development, Big Data & Data Science, Consulting and IT Outsourcing. IDC Research ranked Profinit as the 3rd largest custom application developer in the Czech Republic. Profinit is 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 Re, Confirmo, Edenred, Darag, M.M. Warburg, My Community Finance, Bottomline, Berenberg Our services: - Data science & AI - Custom software development - Application management outsourcing - BI/DWH design & development - Enterprise integration - IT Outsourcing services Our main customers include banking, insurance, pharmaceutical and telecommunications companies in Central and Western Europe, and we also service a number of other private and public-sector organizations. Our services and products are used by customers in Germany, Austria, Benelux, the UK, and other countries, where we operate in the nearshore mode. For more information visit the following websites: - https://profinit.eu - https://bigdataforbanking.com - https://systemsmodernization.com
Tagessatz
400€/Tag
Jahresumsatz
10-50 Millionen
Unternehmenstyp
Etablierter Dienstleister, Nearshoring Anbieter
Homepage
https://profinit.eu/de
Standort
PragueHamburgBratislava

Referenzen

Rapid IT portal takeover

Leading Austrian insurance company
Versicherungsbranche

Bewertung

Keine Bewertung vorhanden

09/2019 - 09/2019

Wien

Ähnliches Projekt anfragen

Projektbeschreibung

Project Brief

Take over and upgrade a Java-based IT portal from a previous vendor without any support or documentation in less than a month.

Business Needs

The solution needed to meet the following targets:

  • Swift takeover despite no communication with the previous vendor
  • Azure DevOps configuration and operation
  • Fully-documented solution
  • Implementation of new features
  • Deadline of 3 months
Project Summary

We took over the client’s portal-like Java solution in less than a month and completed the whole project on time, delivering even more features than expected.

  • A new Java-based portal up and running in Azure cloud in just three months
  • An agile solution resulting in the delivery of 50% more features
  • Integration of the Azure DevOps platform with the benefits of automation/processes support and knowledge sharing
  • Fully-documented solution serving as a basis for other Java-based applications
Tech Stack

JAVA 11, Azure SQL, Angular 10, Azure DevOps, Docker

Azure
Docker
SQL
Angular
Java
Azure SQL Database
DevOps
Swift
Knowledge Sharing

Data-driven campaign targeting

Raiffeisenbank
Banken und Finanzdienstleistungen und Bankensektor

Bewertung

Keine Bewertung vorhanden

01/2021 - 12/2021

Prague

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Projektbeschreibung

Project Brief

We increased the conversion rate of consumer credit campaigns using customer behavioural modelling on a big data platform.

Business Needs

The solution needed to meet the following specifications:

  • Increase the conversion rate of large-scale consumer credit campaigns
  • Leverage other channels and increase success rates
  • Integrate the solution into CRM and campaign management system processes
  • Adhere to strict outreach policy requirements
Project Summary

A campaign offering consumer credit targeted at customers via the advanced use of transactional data produced the following results:

  • Within two months, the bank reached approximately 95,000 customers through various channels
  • The model identified the most suitable 10% of the customers to be reached by the call centre
  • By selecting the right customers, the call centre increased its conversion rate sixfold compared to matching done without using the model
  • Across all channels, the data-driven solution was 50% more successful than the existing model
Customer Relationship Management
Hadoop
Konsumentenkredit
Bankwesen
Python
Spark
Big Data
Kampagnenmanagement

Nearshore Partnership

M.M. Warburg & Co
Banken und Finanzdienstleistungen und Bankensektor

Bewertung

Keine Bewertung vorhanden

01/2018 - bis heute

899.998 Euro

Hamburg

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Projektbeschreibung

Project Brief

Develop custom software capabilities for a leading German private bank as part of a long-term nearshore partnership.

Business Needs

The solution needed to meet the following targets:

  • Support business through legacy modernisation
  • Respond more flexibly to changing requirements
  • Engage in long-term collaboration with a nearshore team
  • Apply a bespoke tech stack to optimise costs
Project Summary

We applied the Profinit Modernisation Framework to deliver a custom software development solution for our client as part of a wider long-term nearshore partnership.

  • Bank’s ability to meet market challenges expedited significantly
  • Nearshoring resulted in 65% savings compared to German providers
  • Seamless transfer of knowledge and alignment with the client’s IT department
  • Fine-tuned and ongoing coordination on SDLC to realise development goals
  • Future agreements established on other long-term projects for the client
Bankwesen
Spring Boot
Softwareentwicklung
Jenkins
Nearshoring
Security Development Lifecycle
Java
SonarQube
YouTrack
Marketing
Artifactory
Kollaboration
Private Banking

Big data management platform

Deutsche Telekom
Telekommunikation

Bewertung

Keine Bewertung vorhanden

01/2017 - 12/2017

Prague

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Projektbeschreibung

Participating in the development of Big Data Management Platform for Deutsche Telekom. Storing, integrating and analysing large volumes of data using state of art tools and technologies with the aim to replace selected traditional business intelligence systems.

Data Management Plattform
Business Intelligence
Big Data

Front-office system modernisation

Erste Group Bank
Banken und Finanzdienstleistungen und Bankensektor

Bewertung

Keine Bewertung vorhanden

01/2020 - 12/2020

Prague

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Projektbeschreibung

Project Brief

Modernise a 15-year-old front-office system to increase business value, optimise the user experience, and reduce error rates and maintenance costs.

Business Needs

The solution needed to meet the following targets:

  • Deliver added business value
  • Bridge the tech gap from legacy to modern
  • Improve automation and overall quality
  • Reduce technical debt
Project Summary

We successfully oversaw a complete front-office system modernisation based on greenfield development principles, delivering a new architecture and removing dependencies on existing legacy code.

  • Delivery of a modernised front-office system
  • Technical debt was reduced significantly
  • The rollout of new features and safer implementation
  • Increased functionality and decreased error rate
  • Scalable, well-documented and maintained
  • New architecture enabling future integration with other systems
  • The client reclaimed governance and know-how over the new system
Tech Stack

.Net CORE, Kafka, Angular, OpenShift, DevOps

Business Value
Angular
DevOps
Red Hat OpenShift
Rollout
Apache Kafka
Instandhaltungskosten
UX Design
.NET Core

Nearshoring partner for internal application development for Berenberg

Berenberg
Banken und Finanzdienstleistungen

Bewertung

Keine Bewertung vorhanden

01/2024 - bis heute

Hamburg

Ähnliches Projekt anfragen

Projektbeschreibung

Project background

Berenberg, one of Europe’s leading private banks, was looking for a partner to outsource internal application development.

Profinit provided a nearshore software development team to work together with a team from Berenberg to develop applications and fulfil their business needs. The Profinit team covers the roles requested by Berenberg – Senior Full Stack Developer, Business Analyst, Application Architect and QA/Test Manager.

The collaboration started with the Securities Workbench project which facilitates investment advisory services in securities. The project is about client classifications and investor profiles pursuant to the German Securities Trading Act (WpHG).

Profinit brought their expert knowledge of full-stack development (Koltin, Spring, Angular in this case), project organisation and governance. Together with Berenberg we stabilised the Securities Workbench project, designed a modular architecture, migrated the project from on-premise to Azure DevOps, and implemented new modules.

Challenge

We needed to set up an intensive collaboration between Prague and Hamburg, where Berenberg is based. While remote work for part of the week is standard these days, working together for months without meeting in person can be challenging. We had to address this to keep the team efficiency close to what we would achieve working together in one office.

Solution

We created a team and processes to make nearshoring collaboration smooth and efficient. At the start of the project, we focused on team building by working at Berenberg for a week, allowing all team members to get to know each other personally.

Later, the Berenberg team also worked with us in Prague at our offices. Meeting in person from time to time significantly increases team efficiency. Even working together remotely, we functioned as a single team, collaborating daily and using agile methods, such as daily stand-ups via video call.

We designed a modular architecture that simplifies development and deployment while setting certain boundaries to ensure future maintainability. This architecture allows easy transformation of the modules into independent microservices, should this be needed in the future.

We implemented new modules for client classification and a dashboard according to business requirements and migrated the application to the cloud.

Big data platform

Raiffeisenbank
Banken und Finanzdienstleistungen und Bankensektor

Bewertung

Keine Bewertung vorhanden

01/2019 - 12/2019

Prague

Ähnliches Projekt anfragen

Projektbeschreibung

Project brief

Banking security-compliant big data platform for use case analyses.

Business needs

The solution needed to meet the following specifications:

  • Select and build a highly efficient big data processing platform
  • Set up tools for solving business cases with data science
  • Meet strict requirements on system security and data anonymisation
Project Summary

We implemented an end-to-end big data platform for new business use case analyses, and achieved these results for the bank:

  • End-to-end delivery of a big data platform, including tools for data science
  • Single sign-on and integration with Active Directory
  • Fully compliant, bullet-proof platform security
  • A powerful tool for self-service BI/DS analytical departments
Systemsicherheit
Active Directory
Hadoop
Single Sign-On
Bankwesen
Cloudera
Business Intelligence
Spark
Bankensektor
Big Data
Data Science

Schwerpunkte

Software Engineering
Business Intelligence
Outsourcing
Softwareentwicklung
Künstliche Intelligenz
Nearshoring
Anwendungsentwicklung
Maschinelles Lernen

Weitere Fähigkeiten

Enterprise Application Integration
Predictive Analytics
Data-Warehouse
Cloud Software
Anwendungsintegration
Datenmanagement
Systemadministration
Analytics Engineering
Big Data
Softwarearchitekturen
Programmierung und Programmiersprachen
Software Design
Backend
Software Development Lifecycle
Normen & Standards im Software Development
Blockchain
Data Science
.NET
Generative KI
+7

Branchen

Banken und Finanzdienstleistungen
10 - 30 Projekte
Bankensektor
10 - 30 Projekte
Finanzdienstleistungen
10 - 30 Projekte
Energiewirtschaft
0 - 10 Projekte
Medizinische und Pharmazeutische Industrie
0 - 10 Projekte

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