"R" Integrated Analytics
Solve your data analytics challenges
The ability for businesses to be able to make predictions based on their data is imperative for making the right future decisions.
Our integrated data analytics solution helps the leading financial institutions meet their analytics needs to understand the true behavior of data in order to make predictions and improve processes. It uses the R language and includes features like machine learning, anti-fraud analysis and risk management prediction, making Irion the right choice.
One of the largest Italian Property & Casualty and Life Insurance providers needed a data governance and quality system to be compliant with Solvency II. Data compliance for Solvency involves a wide spectrum of different business functions and therefore the need of a coordination & control center for all relative activities, in order to guarantee…
Intesa Sanpaolo needed a system that provided greater efficiency and a better quality of results when it came to the reconciliation of operational flows between their various Front Office and Back Office systems. Too much of the process was manually executed and too many individual financial and operative tools had entered the chain, which in turn…
Fideuram Asset Management Ireland’s soft commissions management system was complex to say the least. A manual process, locally managed by various departments across the company, it was disjointed and lacked integration. Not only that, but the entire procedure was based on individual productivity tools with no allowance for proper process tracking. In short, management of…
Sparkasse is a well-known and hugely important inter-regional bank that is well established within the Italian banking market. It has 140 branches throughout Italy that operate within various business segments including corporate, retail and private banking. They found themselves facing a number of data management issues for budgeting and forecasting process challenges and required a…
Our client, one of the largest leading Italian banking groups, deals with big data every day of the year. It’s no surprise, as they handle investment, consumer and retail banking and also have branches in New York, London and Paris. In 2015 they achieved revenues of $2bn. To stay ahead of the game however, they…
Use just one tool. With Irion, analytic capabilities are already included in the platform, so you can avoid the complexity of having to adopt many different tools, which completes your EDM organization strategy.
Machine Learning & Statistics
Use standard statistics to solve financial issues and gain, for example, an Equity Prices Linear Regression Model. Or, use advanced Machine Learning algorithms to gain, for example, Random Forrest Loan classifications.
Our user lab lets you test and simulate your machine learning algorithms, so you can prepare data, select features, partition data, use predictive modelling, have a score for that model, and then evaluate it, giving you the most refined and optimized algorithms.
"Irion has reduced our operational risk dramatically and given us a standard system for data controls for our worldwide branches, allowing us to finally be able to reconcile P&L between front and back office systems."
— IT Manager for Foreign Branches, Largest Italian Bank Group
Use our powerful R engine to write your own analytic rules or algorithms, from simple technical rules, to complex business rules. The R engine is easy to use since it is a standard, open and well-known language.
Our analytic capabilities are completed integrated with the Irion platform so that your other data management processes, like acquisition and quality, are full integrated with your analytics.
Scalability and Performance
The Irion approach is always rapid and agile, so data simulation is easier than ever. Also, executions can be simply scaled from local-client environments to server executions, making it easy to scale solutions from more simple data management problems to a big data analytic projects.
Request A Demo
Schedule a walkthrough with a member of our team today!
A web meeting typically covers:
- External Source Connectivity
- Business and Control Rules
- Publishing and Reporting
- Audit capabilities