Trade Reporting Analytics

Trade Reporting Analytics stands out from the crowd by offering a unique set of features that deliver unparalleled insights. The tool has a simple, self-service portal that lets users check the accuracy of their own trade and transaction data.

Our library has hundreds of data insights, many of which help clarify this year's European Market Infrastructure Regulation (EMIR) regulatory fitness and performance program (Refit) requirements. This allows our clients to easily find, evaluate, and fix data quality and accuracy issues.

Trade Reporting Analytics' unique abilities help its users analyze issues on their own, thus saving time and resources, while lowering risk. An essential tool for improving trade reporting processes and ensuring data quality exists.

Trade Reporting Analytics clients spend less time and money identifying data quality issues and more time resolving them.

Peer Benchmarking:

Every day, Trade Reporting Analytics runs billions of checks on various data points. They package this data to create reports for firms.

These anonymized reports let firms compare their data quality with their peers. This comparison provides important context, helps prioritize issues and gives a clear and global view of reporting performance.

EMIR Refit Errors & Omissions:

Trade Reporting Analytics uses the European Securities and Markets Authority (ESMA) Errors and Omissions threshold calculation.

Through our easy-to-use self-service dashboard, clients can explore their data quality. This helps them understand if they need to report an issue to their National Competent Authority (NCA). They can do this for their whole data set or for a specific entity in any trade role.

Zero integration:

The "Plug and Play" feature increases the value of Trade Reporting Analytics. The tool receives all the client's global data from the Global Trade Repository without any integration at all.

It automatically gathers end-of-day regulatory reports, then checks each row against DTCC's many data quality rules. Each rule is a direct copy of the regulatory requirement. The results are available almost in real time.

Users can access enhanced reports and dashboards. They can also explore data on their own. This allows them to look closely at specific issues and trends. It helps in understanding the root causes of problems.

Community Collaboration:

Trade Reporting Analytics has a client advisory group. This group is important for improving the tool. Industry experts give valuable feedback, knowledge, and insights.

This group represents a community that includes all trade roles. They actively help define and improve data quality rules. They also guide our ongoing product roadmap. This ensures we are always delivering the most important features and enhancements.

We make every data quality rule fully transparent and share the full specification with all our clients.

Our clear and open data quality rules build trust and help the community work together. They encourage new ideas and save money. In the end, they also make it easier to follow regulations. These benefits create a virtuous circle of feedback which ensures we continue to improve.