July 2018: RPA Success: Keep It Simple
I remember a conversation I had with a capital markets CEO back in 2002 where we discussed the carnage that unfolded during the bursting of the dot-com bubble. While it would be unfair to generalize and describe the large numbers of firms that went to the wall from the late 1990s to 2001 as possessing questionable business models cloaked in a thin veneer of credibility by way of eye-catching websites, what isn’t up for debate is the fact that for the first time in history the automation of business processes made possible by the advent of the internet meant that firms were, if anything, more vulnerable than ever before. The upshot was that the automation of bad business processes simply meant that they went out of business faster than they might have in the past.
To a Lean evangelist, that scenario would be welcomed and filed under the “fail fast” mantra, although it’s unlikely that anyone who lost their business or their job during that time would be quite so sanguine and philosophical.
The bursting of the dot-com bubble didn’t bring to an end firms looking to automate certain parts of the business by way of the internet. In fact, that was pretty much the starting point in what has turned out to be an incremental, inexorable push. But it continues to serve as a reminder of what can go wrong—and especially how quickly things can go wrong—if the fundamentals of the business aren’t sound.
Which brings me to Hamad Ali’s robotic process automation (RPA) feature in this month’s issue of Waters. There is little doubt that RPA holds the key to automating large numbers of business processes across the capital markets, the primary benefits being the two measurables that all firms look to manage: saving time and cutting costs. But when it comes to the practicalities of RPA, the old adage “junk in, junk out” is especially pertinent. As with the dot-com fiasco, automating bad processes, no matter how sophisticated the automating technology might be, will almost certainly lead to failure.
The key to successfully applying RPA to enhance existing parts of the business is simplicity. Processes need to be well defined, intimately understood and relatively simple to automate. That said, there are still some in the industry underwhelmed by their RPA experiences to date. Matthew Davey, a managing director at Societe Generale Securities Services, is one such dissenting voice. “We’ve been a bit disillusioned with that experience,” he said, referring to the bank’s use of RPA technology, speaking at last year’s Sibos conference held in October 2017 in Toronto. According to Davey, SocGen uses RPA to underpin its reconciliation and report-generation processes, which he says are relatively simple functions, and therefore well-suited to the application of RPA technology. “If you try and apply it to a complex process then that becomes very difficult,” he warns.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
The Waters Cooler: ’Tis the Season!
Everyone is burned out and tired and wants to just chillax in the warm watching some Securities and Exchange Commission videos on YouTube. No? Just me?
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
T. Rowe Price’s Tasitsiomi on the pitfalls of data and the allures of AI
The asset manager’s head of AI and investments data science gets candid on the hype around generative AI and data transparency.
As vulnerability patching gets overwhelming, it’s no-code’s time to shine
Waters Wrap: A large US bank is going all in on a no-code provider in an effort to move away from its Java stack. The bank’s CIO tells Anthony they expect more CIOs to follow this dev movement.
J&J debuts AI data contracts management tool
J&J’s new GARD service will use AI to help data pros query data contracts and license agreements.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux