Data management

The path to automated trust administration: how to overcome the data management challenge 

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Data-driven digital solutions have become table stakes for fiduciaries. They are no longer a far-off, future project to which firms should aspire. Clients’ digital service expectations are evolving now, and fiduciaries need to deliver.  

However, the way many fiduciaries currently manage their data today is hindering their attempts at a full digital transformation. As the data environment gets more complex by the day, manual processes are no longer up to the task. 

The ultimate objective is the complete automation of repetitive trust administration processes. But that takes expertise and a sophisticated technology backbone that is inextricably linked to data management. It leaves fiduciaries with a choice. Undertake the investment and implement the capabilities in-house, or partner with a specialist third party. Either way, it’s a decision that can’t be delayed. 

As fiduciaries start their journey to fully automated trust administration, there are multiple complex data challenges they must overcome. Here’s how firms can go about solving them. 

Sourcing data from custodians and banks 

Data sourcing poses the fundamental challenge in any trust administration process. Data sources for the complex, multi-asset class portfolios fiduciaries typically manage are fragmented and comprise disparate, non-standardised datasets, including private and alternative assets. 

To consolidated data across these asset classes, fiduciaries need to know: 

  • What assets and liabilities the client has
  • The valuation of those assets and liabilities at a given point in time
  • What transactions have occurred in the portfolios over a given time period 

Providing the timely and granular reporting clients now expect means setting up an automated data sourcing process, using data feeds established with the client’s custodians and banks. Information can then be relayed via SFTPs, APIs, EBICS, etc. (SFTP is the most common, but different jurisdictions favour different protocols). That means saying goodbye to the manual aggregation of multiple CSV and PDF files!  

Automated data sourcing requires no manual intervention, is comprehensive, delivers data in a consistent format over time and alleviates many of the security concerns around email data transfer. 

Automation also allows for daily data sourcing, enabling fiduciaries to produce ad hoc reports when needed, and have completely refreshed data for monthly and quarterly reporting cycles. A daily refresh of data is almost impossible to sustain in a manual environment. 

Automation does require IT capability to set up and maintain the feeds. However, this resource investment is comparatively small when considering capacity freed up – especially when outsourced to a third party

Systems love standardised data  

Once you are able to source data automatically, it will still have: 

  • Multiple file formats, such as text, CSV, Excel, PDF and XML. 
  • Variations in the content – such as the data within it, the delivery syntax and the identifiers used to recognise certain positions. 

This information needs to be transformed into a single standardised schema that can be processed systematically for downstream reporting. And once the data is harmonised, it must be stored in a database. 

Positions, assets, liabilities and transactions all need to refer back to a single object. Without that relationship, any downstream calculations around concentration, performance, and profit & loss will be impaired. 

The data pipeline architecture will determine how information flows from the files into the database and what columns in each file need to be mapped to which database field.  

Data validations must be embedded throughout the process to avoid importing incorrect data by accident and polluting the database.  

Feeding data into your systems 

Fiduciaries need a complete data and reporting solution. That requires a strong technology infrastructure able to process vast amounts of data.  

A platform built on open architecture connectivity principles can facilitate data consolidation and aggregation by allowing easy integration of data feeds to ensure data can be taken from relevant third-party sources.  

Sophisticated APIs enable ready integration with existing internal systems. 

 Automation is here to stay 

Sourcing, transforming, storing and enriching data across investments and multiple complex asset classes requires sophisticated IT engineering and financial data expertise, there’s no two ways about it.  
If opting to build in-house, smaller fiduciaries may struggle to find the budget to invest their limited capital in the necessary infrastructure. Even for bigger players, the cost, complexity and hassle of sustaining the requisite data processes pose a huge, ongoing burden. And by directing resources to the mechanics of data management, and away from searching for new investment opportunities, monitoring investments and servicing investors, performance and client relationships may suffer. 

 Fiduciaries have a choice. They can opt to hire an internal team of IT engineers and financial quants to develop and manage the necessary infrastructure. Or they can use a software solution with managed service expertise to handle the end-to-end data management processes for them. 

What they can no longer do is ignore the growing pressure to provide a better client experience, enhance staff satisfaction and differentiate themselves in a fiercely competitive market. 

For more information about how Sesame can help you consolidate complex data and transform your client and regulatory reporting workflows, head to www.landytech.com/for-fiduciaries
 

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