Customer Stories

The Elsen nPlatform in action

Elsen helps world-class financial organizations build solutions that help them or their clients overcome their most difficult data problems.

 
Case study: A LARGE BUY-SIDE CLIENT

Stagnant to scalable with a single source of truth

Client Background

A buy-side asset manager with $650 billion in assets under management (AUM)—whose antiquated analytic tools and technology couldn’t keep up with changes in the market.

Client’s organization was highly decentralized and the research and technology groups were not under one leadership structure.

They had redundant data licenses for the same data across multiple groups.

Challenge

Data was being pulled from multiple disparate data sources by multiple teams, creating inconsistencies in output.

Engineer, quant, and portfolio manager duties were significantly hindered by their existing siloed research workflow.

Current processes were not scalable.

Elsen nPlatform Solution

In ~12 weeks the Elsen nPlatform was deployed in the client's private cloud.

Users—ranging from engineers to quant analysts to portfolio managers—were up and running on the platform in less than two weeks using the same concordant data.

The web-based graphic user interface (GUI) and application program interface (API) were leveraged for data extraction of required data, e.g., Russell indices, Thomson Reuters’ fundamentals, S&P GICS, and other identifiers for mapping and concordance—creating a single source of truth.

Case study: SYSTEMATIC HEDGE FUND

Alternative data in days—not months

Client Background

A systematic hedge fund with $10B+ AUM.

Very strong core quant team with deep technology expertise.

Challenge

Integrating and testing an alternative (alt) dataset took the client on average 2-5 months using all of their technology teams. They needed to drastically shorten that time period.

Elsen nPlatform Solution

The Elsen nPlatform Enterprise reduced the time to integrate alternative data sets from 2-5 months to 1-3 days.

The web application provided non-technical staff a "quick-and-easy" method to upload data, automatically handling historical point-in-time mapping—typically in under an hour.

The web-based graphic user interface (GUI) and application program interface (API) were leveraged for data extraction of required data, e.g., Russell indices, Thomson Reuters’ fundamentals, S&P GICS, and other identifiers for mapping and concordance—creating a single source of truth.

When the client validated and deemed the data valuable, the client team used the Elsen nPlatform’s novel, and highly-standardized approach for integrating the data in less than 2 days.

Case study: SPECIALTY HEDGE FUND

Stagnant to scalable with a single source of truth

Client Background

A startup hedge fund wanted to offer streamlined investment management services using artificial intelligence and evolutive learning techniques.

Challenge

Inability to generate strong investment results for clients by removing human biases from the process.

The need to lower fees and generate greater returns for investors without increasing the size of the team.

Elsen nPlatform Solution

Simple user interface and web-based platform allowed the client to streamline operations, and quickly start building and testing models.

Rules-based workflow facilitated by the Elsen nPlatform removed bias from the decision-making process and helped the client exceed benchmarks.

Elsen nPlatform’s ability to run tests on massive data sets quickly—plus the ease with which users could export data in a usable form—made the workflow highly repeatable, thus scalable.

Technology automated most of the client’s operations—allowing the fund to focus more on strategy and less on the typical day-to-day processes that can bog-down a traditional fund.

Case study: QA POINT

35x time savings over a standard industry workflow

Elsen partnered with Thomson Reuters, now Refinitiv, to offer its hedge fund and investment management clients the functionality they needed to effortlessly harness and use tremendous amounts of time-series data to test investment strategies.

The application developed – QA Point Powered by Elsen – is intuitive and easy-to-use, leading to an average outcome of 35X time savings on a typical user workflow, based on an industry norm.