Vendor Management & Usage Reporting
Managing commercial relationships at scale
Streamline reporting, declarations, approvals for efficient management data and index relationships at scale.
Automate Reporting & Vendor Approvals
Amplify your revenue streams with a structured vendor ecosystem built on transparency and accountability. Gain better visibility into your revenue intelligence to optimize pricing strategies and effectively manage compliance risk through data-driven insights.
Automate Vendor Approvals
Reported usage made reliable: automated reminders, validations and processing. Late and inaccurate data access and usage reporting is where market data revenue slips through the cracks. DataBP automates the full reporting cycle: reminders, submission, validation and exception handling, with AI-assisted checks that surface understatement before it becomes leakage.
Automate Vendor Reporting
Automated reporting via web portal, file transfer or API, with immediate data validations. Advanced checks and embedded AI flag anomalies, gaps and period-over-period inconsistencies in usage and AuM declarations.
Chasing Automated
Reporting reminders and escalations run themselves across hundreds of vendor relationships.
Automate Index AuM Reporting
Automated reminders and index AuM reporting via web portal, file transfer or API with immediate data validations of index usage, anomaly detection that accelerates index revenue recognition
Automated Vendor Approvals and Reporting for Streamlined Management of Commercial Relationships at Scale
Automates the complexities of managing commercial relationships while streamlining market data administration and enhancing the customer experience. Our platform orchestrates the entire journey – from vendor approvals to usage reporting – ensuring compliance, maximizing revenue, and adapting to the evolving landscape of AI and cloud-driven data consumption.
Simplify Vendor Redistributor Management to Enhance Compliance Accountability
By integrating reporting processes with licensing and proactively managing reporting obligations, market data providers can stay in lockstep with your customers’ evolving use cases, supporting their evolution while reducing compliance risk and streamlining market data administration.
Resolve Revenue Leaks to Maximize Your Market Data ROI
Address inefficient licensing and reclaim lost revenue with smart data management
Contracted Revenue
It is estimated that less
than half of contracted
market data revenues
are ever realized due to
operational risk
Audits
Leakage
Errors
Realized
Revenue
Audits are
expensive and
typically recover
only a fraction of
the liability
Leakage from
non-compliant use or
failure to accurately report
represents a significant
operational risk
Manual processes
and improper
tooling often lead to
costly administrative
errors
Inefficiency of Market Data Licensing
Market data licensing inefficiency is costing the industry. Changes in data consumption, poor governance,
and ineffective management mean only a fraction of contracted revenues are realized.
Vendor Service Approvals
Automate license request workflows, triggering reporting obligations and reminders.
Index Requests
Requests for index usage and licensing.
Usage Declarations
Manage direct user declarations for datafeeds and non-display applications to ensure compliance.
Vendor Reporting
Automated vendor reporting via web, file transfer, or API for automated processing.
Index AuM Reporting
Streamline AuM reporting and index data usage to manage relationships across funds, issuers, and consumers.
Automated Reporting Reminders
Smart, rule-based notifications for timely and accurate reporting.
Data Validation
Automate exception identification and trend monitoring with custom rules and thresholds for compliance review.
Entitlement Reporting
Automatic processing for compliance reconciliations.
Latest News
Randall Hopkins Joins DataCT as President & Chief Administration Officer
DataBP at FISD London: Markets Go 24×5
CTA and UTP to Merge into a Single Consolidated Tape Plan under DataCT
Reinventing Market Data
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