Desirability Of Data Management Strategies
Chasing greater insights through combinations of sources is proving more attractive than cost-cutting
At WatersUSA earlier this week, I was struck by a remark from Steven Totman, financial services industry lead in the field technology office of Cloudera, a big data warehousing platform provider.
Totman said his customers are more excited by the prospect of blending two different data sources to potentially yield a greater insight than by the prospect of saving as much as $60 million by upgrading a data warehouse for greater efficiency and accuracy.
A great insight, in the financial industry, could end up being worth far more than $60 million, but that kind of saving would still be a bird in hand. The result of blending two data sources could actually be priceless, as Totman illustrated by giving an example of a Parisian dating service website that correlated date requests with weather and traffic information to learn if those factors affected how many requests got accepted. The service found a greater rate of accepted requests if the weather was better and people didn't have to deal with traffic headaches on a given day.
Totman's colleague on the panel, Ulku Rowe, managing director of credit risk technology at JP Morgan, shared the importance that firm places on holistic views of data. "We ought to be able to look at interdisciplinary use of that data," she said. "We want risk people who understand origination or traders who really understand the impact of their numbers on the capital, so the firm can make effective use of the data. The biggest value we get out of data management efforts is blending different types of data to make better decisions and better forecasts."
As Totman also said, firms have huge amounts of data, but very little of it is getting used. However, he stated, the importance of unstructured data is catching on, and disparate systems handling different pieces of data are being linked more often.
That's a step in the right direction. Cross-checking or coordinating data from multiple sources yields more potential for financial services businesses than cost-cutting. The increased performance that can result from better-informed insights can carry a firm a lot further than mere reduction of its operational burdens.
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: https://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 Data Management
Data infrastructure must keep pace with pension funds’ private market ambitions
As private markets grow in the UK, Keith Viverito says the infrastructure that underpins the sector needs to be improved, or these initiatives will fail.
AI enthusiasts are running before they can walk
The IMD Wrap: As firms race to implement generative and agentic AI, having solid data foundations is crucial, but Wei-Shen wonders how many have put those foundations in.
Jump Trading spinoff Pyth enters institutional market data
The data oracle has introduced Pyth Pro as it seeks to compete with the traditional players in market data more directly.
50% of firms are using AI or ML to spot data quality issues
How does your firm stack up?
FCA files to lift UK bond tape suspension, says legal claims ‘without merit’
After losing the bid for the UK’s bond CT, Ediphy sued the UK regulator, halting the tape’s implementation. Now, the FCA is asking the UK’s High Court to end the suspension and allow it to fight Ediphy’s claims in parallel.
Waters Wavelength Ep. 339: Northern Trust Asset Management’s Jan Rohof
This week, Jan Rohof from Northern Trust Asset Management joins to discuss how asset managers and quants get more context from data.
Tokenization & Private Markets: Where mixed data finds a needed partner?
Waters Wrap: Reading the tea leaves, Anthony predicts BlackRock’s Preqin deal, Securitize’s IPO, and numerous public comments from industry leaders are just the tip of the iceberg.
Plaintiffs propose to represent all non-database Cusip licensees in last 7 years
If granted, the recent motion for class certification in the ongoing case against Cusip Global Services would allow end-user firms and third-party data vendors alike to join the lawsuit.