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.

 

Revenue Generation

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.

Cost Savings

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.

Risk Mitigation

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.

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Data Quality - Now

You don’t have to wait for your organization's big data strategy to mature with multiple sources. Enhance your data quality initiatives by generating multi-functional visualizations from one large data source.

See it in action
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Dynamic Data Quality

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.

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Cross Organizational Model Validation

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.

See Cross-Org Model Validation in action
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Correlation and Divergence

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.

See it in action

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.

  • See Webinar: Join RBC, Hortonworks, and Arcadia Data as they discuss real time trade surveillance in financial markets.
  • See Webinar:  Join the discussion with Lloyds Banking Group, Hortonworks, and Arcadia Data about the role of big data in trade surveillance and market compliance.

Arcadia Data is the only data-native, visual analytics platform built to analyze big data in place, without moving data.

We solve complex big data problems like networking monitoring, trade surveillance and financial compliance, with the scale, flexibility, performance and security users need to glean meaningful and real-time business insights in the era of big data.