Domain expertise. Reliable software. Happy clients.
“DataArt excels throughout” – zeb
successfully completed projects
years in operation
Agile, Digitalization, Data Management, Automation.
Easy to say, not so easy to do well.
The truth is that quality custom software is difficult. Especially in finance, where complex systems need to be fast, reliable and error free. Where executing means more than just showing up. It means having the depth of fintech experience to anticipate business and technology issues that can derail your project. It means not forcing you into uncomfortable methodologies or technologies. It means doing things right the first time so you don't have to keep fixing broken software. It means working with a skilled remote team that actually fits in. It means your consultant going miles beyond the extra mile.
Because while custom software can be hard, it should never be painful.
TradeTalks: Cloud Economics
Peter Vaihansky, SVP at DataArt, joins Nasdaq TradeTalks to discuss nuances of cloud pricing and share best practices for optimizing the cloud spend.
New Order in Chaos
In an interview with Business Chief, Alexei Miller, Managing Director at DataArt, discusses digital transformation and how technological and cultural change has transformed the way business is conducted.
We Need to Talk About Legacy IT Architectures
In his new article for Global Banking & Finance Review Magazine Cliff Moyce, Chairman of Advisory Board at DataArt, argues that banks must reduce the cost to income ratio to remain competitive - by replacing legacy system architecture with a modern one. However, it might not be as easy as it seems.
Reliable and High-Performance Trading System
A large options exchange was having problems with the system floor brokers and traders used to access the market. The existing technology was old and slow and bogged down in busy markets. It had problems coping with today’s complex order types and trader workflows. In addition, it was struggling to keep pace with compliance and regulatory reporting requirements.
Outlier Detection Platform
An enterprise data management firm was looking for a better way to find outliers in fixed income data. It had tried to manually build a series of rules to analyze the data, a time intensive process. Despite this, too many anomalies were slipping through. The firm thought that ML techniques could help, but did not have the expertise on staff to try them
Data Intake and Analytical Platform
A global credit analytics firm needed to improve the process of extracting data from the many disparate sources it relied upon. The mostly manual methods used were inefficient and error prone. In addition, the extracted data was stored sub-optimally with little auditability
With DataArt’s support, Valphi can now bring to market a platform that merges the latest developments in financial services data with a visualised user experience that enables and encourages the human brain to identify and exploit trends.
Our decision to work with DataArt was based on their understanding of our sector, depth of technical capabilities, and real drive for creating a true partnership model.
DataArt is an invaluable strategic partner for Monex Europe. We trust DataArt to deliver all of our business systems developments and to ensure reliable, secure delivery of our IT based products and services internally and to our clients.