Conquering the Pervasive Problem, Trends that will Shape the Industry, and a Disruptive Solution
The Pervasive Problem in Data-Intensive Finance
We know that analysts want to spend less time manipulating their data and more time developing financial models. Before any of this can be performed, however, there are three major obstacles that stand in their way:
- Data is dumped on analysts’ doorsteps, thus forcing them to perform time-consuming and complex steps to transform the data into something analyzable.
- Analysts need to use a variety of different analytical tools to perform their job, and there is no common time-series based data manipulation language shared among them.
- Legacy technologies are either too slow or too restrictive, rather than providing control, speed, and transparency.
Big Trends that will Shape the Industry’s Future
We believe that there are three major trends in data-intensive finance that will come to fruition between 2012 and 2017:
- A shrinking lifetime of factors that consume structured data from traditional data sources will drive the market demand for innovative trading signals to be created from unconventional data sources.
- The turn-around time for prototyping a data-intensive investment idea was once very costly. This process is now possible through an inexpensive computational grid facilitated by a “Big Data” massively parallel execution engine.
- Events such as those involving AXA Rosenberg and Lehman Brothers will motivate regulatory bodies to demand consistency, transparency, and repeatability of the systematic investment process.
A Disruptive Solution has Emerged
These problems and trends have given way to the need for a vendor-agnostic high-performance infrastructure for data-intensive analytical operations, also known as an Analytical Infrastructure. Our vision, goal, and purpose is to provide an end-to-end Analytical Infrastructure solution to data-intensive financial companies to solve the problems of today and pave the way into the future.