“ 2.5 quintillion bytes of data is produced daily, with 90% of world data created since 2012. “
Role of Big Data in Governance: SWIFT Institute
Executives must be able to trust their data to make informed business decisions. Trusting data requires it to be verified against trusted sources. Verifying against trusted sources requires reconciliation… in real-time at velocity, at complexity, at voracity.
The complexity and fragmentation of financial services data across customer, financial, risk and compliance systems, means that reconciliation is a far more challenging process than ever before.
Increased volume within esoteric asset classes is also adding to the challenge as firms expand their capabilities to meet the demand from clients to facilitate more complex investment strategies and fulfil more sophisticated trade order execution.
The need to rely on trusted data, in real time is ever increasing.
How do you know exactly where a trade is in its lifecycle when it crosses hundreds of systems on its way to being settled and reported?
How can you be sure that your sensitive customer data is sufficiently controlled by a clear set of automated business rules and operational processes?
The volume and structure of data sets and the ultra-fast pace of data exchange have left old batch reconciliation systems unable to cope. Despite these costly technologies, control gaps proliferate with manual workarounds and spreadsheets turning from quick tactical hacks to layers of operationally damaging kludge.
The result is more and more manual effort and massive amounts of unnecessary repetition of work. The average investment bank often has hundreds of staff focussed on reconciliations alone.
“ We needed a system for a digital project to help aggregate, transform and enrich data across over 500 funds. Our data is in multiple formats including PDF, excel, Swift, FpmL.
Clareti streamlined and automated what was a very expensive and slow manual process. ”
Chief Data Officer, Large US Fund Manager
The Gresham Solution
Gresham’s Clareti platform can reduce the headcount required for reconciliation by 30%. It has been built for a new era of post-trade processing and has a unique ability to automatically match any number of data sets, virtually unattended. Advanced machine learning and intelligent matching capabilities mean there’s not even a requirement for human direction to program it with your old business rules – Clareti finds the patterns in the data itself.
Because Clareti is able to continuously match data as it arrives in real-time, instead of the classic batch processing method, humans can leave it alone to focus on more added-value activities - only requiring to get involved when a problem is spotted and escalated.
Its highly productive business tools, workflow management and wizard-based onboarding
Customer Case Study
An international bank needed to take a fresh approach to enterprise reconciliations, their operational and legacy technology costs had ballooned with several hundred reconciliation professionals having to manage hugely resource intensive processes. Loss events that could have been detected and managed, were drowned in the noise of complicated, opaque processes. The existing legacy technology often required 6 months to implement a new control and as such held the business back from gaining efficiency and control improvements.
Gresham’s Clareti platform was implemented and the most critical 20 controls
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