Transform Buyside investing with AI-Driven Solutions from Nomad Data
Leverage AI to streamline operations, optimize data budgets, and drive smarter decision-making across data sourcing, vendor management, asset allocation, and much more.
Challenges Facing the Buyside
As the buyside faces rising data commoditization and competition, traditional methods of data sourcing and vendor management are no longer enough. AI is here to transform how data teams bring value to the fund.
Key Challenges
Diminishing alpha from commoditized datasets
Proliferation and fragmentation of data vendor landscape
Resources wasted testing duplicative or inadequate datasets
Data vendor knowledge siloed in myriad internal and external systems
Evaluating and onboarding new data takes too long and the process isn’t structured
Unstructured datasets require large investment to extract value
How Nomad Data Helps the Buyside
Nomad Data helps funds make smarter investment decisions and reduce operational costs. Our platform is built to address the most critical challenges investors face today.
Buyside Use Cases
Unparalleled Data Coverage:
Quickly connect live use cases to the world’s largest data market (4,300vendors and counting) and browse the most unique vendors being added each week.Unique Corporate Data:
Access exhaust data not being marketed elsewhere as corporate vendors embrace Connect’s double-blind matchmaking process.Unified Vendor Management:
Consolidate the entire fund’s data knowledge in one place, integrated with your existing systems.Rationalized Data Budgets:
Reduce duplicative testing and spend, ensuring each dollar of the data budget is putto the best use.Streamlined Vendor Onboarding:
Speed up time to value by automating data sourcing workflows and paperwork redlining.Extract Value From Unstructured Data:
Derive insights at scale from call transcripts, sell-side research, SEC filings and any other investment-related documents.
Read more about how investors can use Nomad Data →