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R Integration

R is a programming language for statistical computing and graphics currently supported by the R Foundation for Statistical Computing. R functionality is provided via open-source user-created packages, which allow for specialized statistical calculations and modeling techniques, graphical devices, data import/export capabilities, reporting tools, and more.

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Case Study
Optimize your Energy Power for Trade and Risk with a ZEMA Integration
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Using R with ZEMA

See how can ZEMA help

The combination of ZEMA and R capabilities can reduce users’ reliance on other intermediary analytics solutions, such as Matlab, SAS, SPSS, and Stata for risk calculations.

ZEMA becomes a one-stop risk management solution.

The combination of ZEMA and R capabilities can reduce users’ reliance on other intermediary analytics solutions

Ability to explore various statistical applications.

Access to the most current and needed statistical and econometric functionality.

ZEMA performance not affected by complex calculations.

ZEMA performance is not impacted by the complexity of calculations associated with Inline R.

R Use Cases

R-integration to ZEMA’s analytics advances risk management capacity to better service clients complex requirements

R is applied in a wide variety of fields for which packages are available, including but not limited to:

Finance Modeling
Machine Learning
Credit Risk Modelling
Economic Forecasting
High Performance Computing
Time-Series Analysis
Real-Time Market Data Analysis

Some of the common uses cases of complex risk management solutions are the following:

Cyclical and recursive calculations
Multi-variable regressions
Econometric forecast models
Resource optimization
Monte-Carlo simulation

What People Say About Us

"Argus and ZE have a long established relationship and outstanding track record of collaboration. Together we deliver highly valuable market insights in a scalable, secure environment allowing our clients to focus on what they do best."

Andrew Bolton,
VP, Global Partnerships

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