Pervasive problems continue in data-intensive finance.
Even analysts with brilliant ideas are held back because of the significant efforts involved in preparing the data before it can be used for the purpose of analysis.
As a by-product of this problem, it often takes far too long to go from an investment idea to live trading.
Since 2003, we have worked to improve the data-intensive systematic investment process. We have seen dozens of different systems and processes, enabling us to discern what works and what doesn’t when it comes to using data for the purposes of portfolio construction, quantitative research, predictive modeling, risk analysis, and factor attribution.
Our experience has led us to see a common thread that was missing from all of these implementations: a vendor-agnostic analytical infrastructure designed to make it easier and faster to access the data you need for analysis.