Amazon Web Services Makes Finspace Available For All
AWS | May 05, 2021
Amazon Web Services, Inc. a subsidiary of Amazon.com, Inc. today unveiled Amazon FinSpace, a purpose-built analytics tool that cuts the time it takes FSI companies to locate, plan, and evaluate financial data from months to minutes. Amazon FinSpace collects, indexes and tags data from around an organization's data silos, making it searchable by the entire organisation. This service also includes Apache Spark analytics engine, which contains over 100 data transformations commonly used in the capital market industries to curate data for analysis at petabyte scales. Amazon FinSpace ensures that data access controls are applied and use is monitored at all times, making it easier for FSI organisations to fulfil their enforcement requirements.
The analysts of hedge funds, asset management firms, insurance companies, investment banks, and other FSI organizations can get more benefits with Amazon FinSpace, that gives access to the information they need as well as it empowers them to create thorough analytics on demand to all of its collected data.
Customers only pay for the data stored, the users allowed, and the software used to prepare and analyse data. There are no upfront costs or obligations to use Amazon FinSpace.
Every day, FSI organisations generate and compile petabytes of data from internal sources such as portfolio management, managements systems, order management systems, and execution management systems, as well as third-party data feeds such as high-volume historical equities pricing data, job statistics, and earnings results. These companies want to use the massive amounts of data they have at their disposal to gain insights that will help them find potential revenue streams, attract and retain customers, and minimise costs or risk. However, before data can be processed, FSI firms usually spend months locating the appropriate data to prepare it for review.
Since FSI organisations store data in warehouses dispersed throughout the departments that specialise in particular assets or geographical areas and produce specialised data, finding and analysing data takes time (e.g. options, bonds, equities, Europe's mutual funds, Asian currency exchange, etc.). Furthermore, data access is tightly regulated and policy-controlled, which means analysts must explain to enforcement officers how their access will adhere to data usage policies before they can access the data. If they have access to the data, analysts must prepare it for analysis by conducting data transformations recursively in order to uncover new insights within the data. Stock market traders, for instance, often use technical measures such as Bollinger Bands, Exponential Moving Averages, and Average True Range to detect previously unknown trends and patterns. The data analytics tools available for analysts today designed to operate on a single computer and were not intended to take advantage of the cloud's size and capacity to perform heavy analysis on demand.
As a result, these analysts must either use small representative datasets that restrict predictive ability, or the data must be manually broken up into several subsets, transformed piecemeal, and manually recombined.
Neither method is optimal or efficient.
Amazon FinSpace addresses the challenges that FSI organisations face by dramatically simplifying the steps required to identify, plan, and analyse data, reducing the time required from months to minutes. Customers start by ingesting data into Amazon FinSpace through the service's Application Programming Interface (API) or a drag-and-drop interface in the web application from internal information storage facilities or third-party data feeds. Customers can find data by browsing a visual catalogue and searching for familiar market keywords such as “options trades over the last three years or U.S. automotive bonds” from inside the web application.
Amazon FinSpace provides built-in classification schemas for popular FSI data sources (e.g., trades, corporate activities, and economic data) that customers can configure to their specific needs, allowing the data to be structured in an easy-to-find and easy-to-share format. It also tracks and processes regular changes and corrections for datasets in order to generate point-in-time views to test modelling assumptions and display what data was used to guide past decisions for historical review.
While Announcing FinSpace, Saman Michael Far, Vice President of Financial Services Technology, Amazon Web Services comments “Significant quantities of data are generated and purchased by FSI organisations, but using this data is difficult due to the time and effort required to obtain and prepare data for analysis.” He also adds, “For FSI organisations, Amazon FinSpace is a game changer as it drastically decreases the time it takes FSI customers to perform analytics across petabytes of data, making it much easier for them to find new revenue streams, attract customers, and reduce cost and risk.”
Amazon FinSpace is currently accessible in the United States East (North Carolina), United States East (Ohio), United States West (Oregon), Canada (Central), and Europe (Ireland), with additional regions to follow.
About Amazon Web Services
Amazon Web Services has been the world's most comprehensive and widely used cloud network for over 15 years.
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About Amazon
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