Complexity, speed, and need for deeper insight across the portfolio are just three of today’s realities colliding with LPs’ legacy technology. And, in this match-up, the market realities are winning.
Dynamo’s survey research with global LPs provided clear confirmation. Many reported technology challenges that constrain them more than empower.
Investors today don’t just need data, they want intelligence. This means actionable insight that is timely, linked across systems, and available when and where decisions happen.
Data volumes are growing exponentially. Alternative investment portfolios are becoming more diverse. Regulatory pressure is increasing on LPs to demonstrate governance and risk management. All of this means an outdated tech stack isn’t just an inconvenience, it’s a significant risk.
Here’s where LPs are experiencing the biggest technology hurdles.
1. Fragmented Systems That Resist Integration
Many LPs are operating with technology stacks that evolved piecemeal over time. While each system may serve a valuable function, stitching them together into a cohesive workflow can be difficult.
It’s inherently inefficient. Teams spend time reconciling data across systems, exporting information for analysis, or manually connecting insights that should already be linked.
The challenge only becomes even more pronounced as portfolios expand across asset classes, geographies, and manager relationships. Dynamo’s LP research reflects this growing complexity. Respondents ranked managing fund managers and conducting due diligence as the top challenge in their investment process, underscoring how fragmented data environments can slow one of the most important activities for institutional investors. 
Increasingly, LPs are recognizing the need for systems that unify investment workflows rather than forcing teams to toggle between disconnected tools.
2. Low Adoption Caused by Complex Interfaces
Functionality and usability are two very different things. Technology can only deliver value when teams actually use it. Multiple interfaces and user experiences that are overly complex or confusing disincentivize teams from adopting—and consistently using—needed systems.
It’s a natural reaction to human reaction to revert to the “old ways” of doing things when systems are too difficult to integrate into daily operations. But, these “shadow workflows” undermine the integrity of the availability information and greatly diminish a firm’s technology ROI.
When respondents to Dynamo’s LP survey ranked what matters most when implementing new technology, the top priority was empowering the entire team to leverage the platform effectively. This ranked even higher than cost considerations or reporting capabilities.
It marks an important shift in how LPs evaluate technology, with usability emerging front and center. Clear, intuitive interfaces are essential to supporting the daily workflows of investment teams.
3. Mediocre Integrations with Third-Party Tools and Data Providers
ALTs investment decisions depend on an ecosystem of data sources. Market data providers, fund administrators, document portals, and analytics platforms all contribute pieces of the larger puzzle LPs rely on.
Legacy systems struggle to integrate this growing ecosystem. With limited connectivity, data must be manually imported, cross-referenced, or reformatted before it can be used.
LPs can find themselves left with incomplete or delayed information. Third-party data must easily flow into internal systems, or investment teams lose the ability for holistic analysis.
Modern investment infrastructure is built for integration. Technology platforms should connect seamlessly with external data sources to reduce manual work while improving the completeness and timeliness of portfolio information.
4. Artificial Intelligence That Doesn’t Fit Investor Workflows
Artificial intelligence has become perhaps the most-discussed innovation in investment technology. However, for many LPs the reality has yet to meet expectations.
There are many examples where AI capabilities have been layered onto existing systems instead of designed directly into the workflows investors use every day. Tools that operate outside core processes are limited, and often fail to deliver meaningful enhancements.
The most immediate opportunities for LPs lie in applying AI where there is practical value. Transforming the operational challenges that consume the most time—such as extracting data from documents, organizing investment materials, and surfacing relevant insights during analysis—offers tangibly felt wins.
This allows the technology to function as partner, helping to process information more efficiently and uncover insights more quickly.
5. Inadequate Analytics for Real-Time Decision-Making
The final challenge is one many LPs recognize well. Analytics capabilities far too often lag behind the required pace of decision-making. Data must be aggregated from multiple sources before analysis can begin, and investment teams have to rely on periodic reports instead of insights that are continuously available.
This challenge is closely connected to another key finding from Dynamo’s LP research. Respondents ranked gaining a comprehensive understanding of portfolio exposures and underlying holdings as one of the most significant difficulties in the investment process. Without integrated analytics and timely data, building that comprehensive view becomes a tedious and time-consuming exercise.
Larger, more complex portfolios need analytics and reporting capabilities directly connected to the underlying investment data. Insights should be generated where decisions are made, so teams can move with speed and confidence.
From Repository to Intelligence
In large part, legacy technology has functioned as more of a repository where information is stored. Today’s investment environment requires something much more dynamic.
LPs need a system that operates with intelligence. Technology platforms should connect data across the investment lifecycle, support collaboration, and materialize insights when they are needed most.
There’s no way around it. Portfolios are going to grow more complex. The volume of available data is going to expand. Unification, integration and intelligent automation are the keys to moving beyond legacy tech challenges so LPs can stop managing data and truly leverage it.
To learn more about how Dynamo v3.0 offers LPs an intelligent, AI-powered approach to managing alternative investments, view the on-demand webinar.
Dynamo v3.0: The AI-Driven Data Experience Built for LP ALTs Investors
Frequently Asked Questions (FAQ)
By consolidating data, automating workflows, and providing connected insights across the investment lifecycle, Dynamo helps LPs access the information they need more quickly and confidently, reducing delays caused by disconnected systems.
Dynamo leverages AI-powered capabilities to help investment teams surface insights, improve decision-making, streamline workflows, and gain greater value from the growing volume of investment data they manage.
Yes. By automating manual processes, reducing duplicate data entry, and connecting previously disconnected systems, Dynamo helps LP teams spend less time on administration and more time on strategic investment activities.
Dynamo focuses on usability and intuitive workflows, making it easier for teams to incorporate technology into their daily processes. Higher user adoption helps organizations maximize the value of their technology investments and reduce reliance on manual workflows.
An integrated platform helps Limited Partners eliminate data silos, improve operational efficiency, and gain faster access to critical investment information. By bringing workflows together, firms can make more informed decisions and reduce administrative burdens.
Dynamo provides a unified platform that connects investment workflows, data, manager relationships, due diligence processes, and reporting activities. This reduces the need for manual reconciliation and enables teams to work from a single source of truth.
Umesh Sangaralingam is a seasoned sales leader with extensive experience in the financial services and technology sectors. Currently serving as the Senior Sales Director for Institutional & LPs in the EMEA region at Dynamo Software, Umesh plays a pivotal role in driving innovation and delivering strategic solutions to some of the world’s largest institutional investors. Based in London, UK, he brings a wealth of expertise from his previous roles at Automated Intelligence, where he managed key accounts in financial services, IBM as a Data & Analytics Portfolio Sales Executive, Dealogic as a Senior Client Coverage Executive, and SunGard as a Regional Sales Manager. Umesh is known for his ability to optimize client strategies and enhance operational excellence across diverse financial landscapes. Connect with Umesh on LinkedIn.
