Visual Analytics for Financial Services
Whether your focus is revenue generation, cost savings, risk mitigation, or a hybrid of the three, data drives everything in financial services - second only to relationships. A data-driven program is exploratory in nature, refining traditional data sources with unique and diverse data sets to provide actionable insight and value. A business head or regulator could ask for this insight at any time.
To generate value from big data, you need a visual analytics platform that is able to:
- Show real-time and historical data in one application
- Analyze all types of data in place, without moving it
- Allow business users to do this in a self service fashion
Arcadia Data is the front end to your data-driven programs. It enables subject matter experts to join data, test assumptions, collaborate with others, and digitally package their findings in a secure and convenient way. This is done through an intuitive web UI. No need to move data. No need for coding.
Analyze large volumes of multi-structured data for insightful product development and engage customers with web-based interactive visual applications. Leverage alternative data for trading strategies with an edge.
Accelerate insight by giving subject matter experts an intuitive and self-serve web UI. Optimize collaboration across teams by securely packaging the same views on the same data and therefore speed up the decision making process by skipping the whole extract, transform, and load phase.
Prove a robust and defensible process by validating risk models in granular detail by correlating machine, historical, and real-time data; inclusive of chat, voice, emails, trade execution, and post-trade events.
Intelligence for Everyone
Bridge the gap between lightweight self-service BI tools and advanced analytics – do both. This will increase the number of experts that create their own business insight on data previously out of their reach, thus extending the impact of analytics through live and interactive data applications.
RegTech: Leveraging Alternative Data for Compliance
Watch this panel discussion between Nordea, RBC Capital Markets, Greenwich Associates, and Arcadia Data to understand how leading banks are leveraging internal and external alternative data sources to improve compliance and regulatory oversight.
A Front End for Data-Driven Regulatory Compliance
Multidimensional challenges require robust and integrated business processes that clearly show accuracy and effectiveness.
"Imagine a digital package that could show this in a transparent, secure, and interactive way", writes Paul Lashmet.
Identify material changes in upstream data sources that affect active transactions in order to prioritize remediation efforts. Join machine learning data quality risk models with pre-trade electronic communications, trade execution, and post trade events for timely and effective trade reconstruction.
Evaluate how entities perform against a series of adverse market scenarios. You can imagine in the background, algorithms testing different ways to free up liquidity. Those changes could be reflected here. When you see a graph you like, you can package that data and use it as part of a management plan provided to auditors.
Visualize algorithmically-generated data with billions of rows of transaction data to prove that it is both sufficient in volume and adequate in quality. Arcadia Data visual analytics can help evaluate the performance of multiple entities against a series of valuation models. Plan desk structure and organizational changes through an enterprise-wide lens while proving that models are based on real market data.
Trade Surveillance Software
Deep forensics for monitoring trade activity in real time is a complex big data problem for most large businesses. Arcadia Data visual analytics software enables the identification of abusive trade behavior (the “needle”) within the mass of electronic communications and high velocity, cross-jurisdictional trade volume (the “haystack”) in real time.