The core question in difficult times: shall we emphasize on the technological support of our core business, or optimize the work flows? People often think, there is a trade off between supporting quickly emerging business ideas (in finance: new deal types, tradig strategies, ..) or the organisational aspects (including risk management).
It is assumed that mapping the quickly-emerging lead to quick-and-dirty prototyping that leads to quick-and-dirty sub systems.
But THERE ARE evolutionary prototyping platforms.
The compute-develop-deploy paradigm of Mathematica is a leading example, for all developments in quantitative fields, from the user-programmed desk top application to the largest scale enterprize-wide risk management system. With its link technologies Mathematica can integrate even legacy-system fragments, and its data base link allows for high data quality and consistency. Intelligent data aggregation and scalable built-in high-performance-computing enables in-time-decision support.
Again, it is not OR, it is AND.