DATA MANAGEMENT

Concept

The concept of data management is relatively simple. Firms need access to high-quality, relevant data, provided in a timely and cost-effective manner. Access to accurate data is necessary for effective investment decisions, trade execution, securities pricing, risk management, regulatory compliance, and portfolio valuation and measurement.

Delivering on this concept, however, is challenging, particularly in a dynamic environment marked by significant regulatory changes.

Our solution

Data management with KNIME

KNIME® Analytics Platform is the leading open solution for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. Our enterprise-grade, open source platform is fast to deploy, easy to scale and intuitive to learn.

Data management with R

Before you can analyze data, it must be in the right form. Getting it into that form is often where we spend most of our time. R can do that with it's most popular add-on packages: dplyr, stringr, lubridate, tidyr, broom, compare, sqldf.

Our team have multiple R and KNIME experts ready to analyze all the big data you have using high level up-to-date technology and concepts.

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