The EnterpriseROR Data Analytics System is designed for financial service firms needing the broadest array of advanced analytics for their business users and individual investors. At the platform's core is an investment performance calculation engine and reporting system capable of gathering and analyzing vast amounts of investment account data for large and small populations of investors or plan participants in real- or near-real-time. It is designed to seamlessly integrate and operate behind the secure firewall of a firm's account access website and is the foundation for dailyVest's enterprise-level Big Data analytics module for Plan Sponsor Reporting (planAnalytics or PA), the Personal Investment Performance reporting module (PIP), the account Statement-On-Demand (SOD) module and the Print Batch Output (PBO) module for generating personal rates of return and performance charts for inclusion within printed account statements, or for archival purposes. A high-level system overview for EnterpriseROR is shown in figure 1 below.
EnterpriseROR Data Analytics Platform uses production-tested, custom tailored “data connectors” to assimilate plan, securities, and investor account data from a firm's recordkeeping system or system-of-records/database. And because the core engine's outputs are XML- and JSON-based, standard web technologies and programming techniques can be used to transform its processed and calculated output to custom branded content for within your website.
The EnterpriseROR engine is highly scalable and designed to operate in real-time and batch mode. Performance calculations and processing of investor data can be carried out for an unlimited number of accounts, thus providing a robust solution for very large service providers. The term 'real-time' applies to EnterpriseROR’s ability to instantaneously respond to user requests for calculated performance, plan sponsor reporting, account statement on demand or personalized investment reporting. In the default 'real-time mode,' the system is designed to completely service requests for performance information on-demand. Thus, the moment a user requests a page containing dailyVest analytics, EnterpriseROR immediately requests data for that investor’s account from the recordkeeping system, processes, calculates, renders and returns the results to a web browser. The most time-intensive task in this sequence of events is the delay associated with retrieving account data from the back-office recordkeeping system. Calculations are virtually instantaneous and overall response times of 5 seconds or less are typical.
Inputs. EnterpriseROR connects to a firm's recordkeeping system for the following minimum data:
Application Environment. EnterpriseROR’s core engine is referred to as the "Financial Object Model" or "FOM," an XML Web Service which can be integrated within Java and Microsoft ".NET" environments. For easy integration dailyVest provides a "wrapper class" -- sample Java and ".NET" code containing pre-set FOM properties needed to generate a variety of useful output pages. Currently, a Windows 2003 or 2008 Server is required to run the FOM.
Outputs. The FOM engine is designed to produce XML output and there are a variety of standard web development techniques to transform this information-only output into customized HTML web pages or electronic PDF-formatted statements which reflect a firm's branding and corporate identity. Personalized client analytics such as a single chart or table of personal rates of return can be "inserted" within existing web pages if necessary. In short, firms have ultimate control over how personal performance and investment information is presented to end users via web pages, investor statements and other third-party applications.
As noted, EnterpriseROR generates output in an XML format. Simple and standard programming languages such as XSLT can be used to control layout, positioning, navigation, sizing, color and design presentation of the dailyVest analytics according to your own branding standards. Chart images such as pie, line, bar and scatter charts can also be generated to match. The FOM engine can generate these personalized information elements with complete design flexibility.
EnterpriseROR comes with an extensive suite of administrative tools for verifying calculations, the adequacy and correctness of raw data supplied to the FOM engine, statistics about usage and cache hits, error logs indicating faults such as a missing price or transaction, inaccurate share/unit balance information, and the ability to set a "trace" on a specific investor ID for dumping raw data needed for analysis by dailyVest or the firm.
Our code powers some of the largest financial service brands in the US.
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