Use-Cases
Market Data Reconciliation
Market data reconciliation presents unique challenges in the expansive modern data financial universe. With a vast number of third party market data providers available, from Bloomberg to MSCI and S&P, data teams are burdened with the task to identify conflicting data points across inconsistent data formats (CSV, XML), snapshot timings, and more. Reconciling datasets from a various providers often requires manual processes and long hours with daily deadlines to deliver production-ready datasets. Boagent automates market data reconciliation processes cutting processes time over 3X, while dramatically reducing operational and data risk.
How Boagent Helps Solve Market Data Recon
Quickly match data points across vendors with included reference data covering ISINs, CUSIPs, Bloomberg ID, and FIGI identifiers.
Fully automate data ingestion with our AI recon setup, database connectors, and ingestion workflows.
Automate vendor inquiries to automatically draft and email questions about discrepancies to vendors according to predefined rules and email templates.
Solve Your Market Data Recon Challenges
Challenge
Data Vendors Use Different Unique IDs
Different data providers (e.g. Bloomberg, MSCI, S&P) use their own unique identifiers, increasing the challenge of reconciling data discrepancies between vendors. Considering the different product types and asset classes firms trade, managing reconciliation processes for market data can be incredibly challenging, costly, and inefficient without the proper tools.
Solution
Boagent comes with datasets of unique IDs, updated daily, that allow you to cross-reference different unique identifiers.
We’ve partnered with IVolatility to deliver their industry leading reference data without any additional integrations.
Challenge
Incomplete Data Missing Identifying Fields
As markets become more competitive, Institutions turn to sparser datasets and alternative data for an edge. Reconciling unclean, tough-to-identify data requires standardizing datasets, increasing the workload on data teams.
Solution
Boagent enables teams to transform data and generate custom metadata fields without dedicated ETL tooling.
Combine datasets, build identifier fields, and standardize data models without being an ETL specialist.
Challenge
Continuously Increasing Volumes of Market Data
As market data volumes increase, even in-house reconciliation processes fail to deliver results within daily deadlines, or they require increasing resources to maintain, from human resources, to additional management tooling, to additional computing costs.
Solution
Boagent comes with a best-in-class matching engine that delivers efficient performance and easy management regardless of scale.
As your requirements increase, our software scales with you and is designed for high throughput processes with strict management requirements.
See it in Action
Let us show you how Boagent can help you solve your reconciliation challenges with just 30 minutes.
Schedule a Demo Today