The ability to consistently leverage new data sources throughout business
operations is a critical differentiator for asset managers.
Evolving data requirements
Asset management has always been a data-driven industry; not only does data power the decision-making process but data is also the cohesive element between the front, middle and back office operations. In the last few years, however, we have seen the sources and types of data used in asset management drastically expanded. How can asset managers ensure they have access to existing and new data sources in a timely and accurate manner?
Continuous integration and deployment: access to new capabilities more quickly
Continuous integration, delivery and deployment (CI/CD) techniques allow modern technology to be deployed seamlessly without a noticeable upgrade. At Linedata, we apply CI/CD methodology to our Data Management Service. This means that our clients using the Service gain access to the new data sources and data points seamlessly without any upgrade process. Asset managers can then make use of this suite of data to power their decision-making process. They also gain a common data set for the front, middle and back office. It is a critical differentiator for asset managers that new data sources can be leveraged consistently throughout their business operations.
Importance of good data for AI and ML
There has also been an expansion in the analysis of data used in the asset management process. More specifically, the industry has seen growth in the use of machine learning (ML) and artificial intelligence to shed light on longstanding problems and new opportunities. For example, Linedata has used ML to help asset managers generate operational alpha by predicting operational losses with our Linedata Analytics Service. However, all ML and AI models have a fundamental requirement for clean and accurate data so they can be correctly trained. Integrating new relevant data points on an ongoing basis improves the accuracy of the models and their effectiveness in adding business value.
Benefit from lower TCO and streamlined vendor management with Linedata’s managed data service.
New data sources
Among the new data sources emerging over the last few years, we have seen ESG data go from being the domain of specialist ESG investments to mainstream data. In many cases, it will soon be required through regulation. Using Linedata Data Management Service, clients can fetch ESG data to power investor reporting, compliance rules and decision making. This is only possible through software that can adapt to these changing data requirements. With CI/CD, new data can be used to add value from the front to the back office without expensive and time-consuming upgrades.
Make a difference
Great asset management decisions require access to great data. With data types, sources and requirements evolving faster than ever, asset managers must ensure they can integrate new sources of data in a time-efficient manner with no disruption to ongoing data workstreams. Continuous deployment of Linedata’s Data Management Service can power this process as an integral part of an adaptable, effective asset management operation.
About the author, David Boot
David Boot is Global Product Manager for institutional asset management clients. He has 20 years experience in the industry bringing innovation and adaptability to clients’ toughest risk, data and analytics challenges.