Finance, risk, operations, compliance, and treasury teams are still anchored to time-delayed batch data processing on end-of-day positions. The batch data processing paradigm of the middle- and back-office functions means that they are operating with lapses of time in which the activity is unknown. The ability to spot and immediately react to an issue that could have a systemic impact on the organization is severely limited. The goal would be to get those gaps of the unknown as small as possible.
This paper discusses a better alternative to today’s batched back-office analysis systems. You can instead run on-demand analytics only on the relevant data for your specific query. This gives you near-real-time analytics in a cost-effective manner.