High-Volume Transaction Matching
The modern close demands “automation, accuracy, and scale”. With proven volumes and performance, flexible matching of any scenario, and finance‑owned—match transactions without data duplication and point-solution sprawl.
Surface exceptions for action—continuously through the period—so reconciliations auto‑certify more often, and consolidations run with fewer delays.
High-Volume Automation and Exception Management
Automate workflows and matching across multiple sources and data sets – running matches multiple times per day to surface exceptions, generate journals, or trigger dispute processes where needed.
Streamlining reconciliations, certifications, and enabling finance teams to focus on strategic analysis instead of manual data manipulation.
Eliminate Redundancy and Match Anything
Avoid data duplication by executing one-sided, three-way, or any combination of matches without reloading data.
Handle intricate use cases like intercompany, invoice to receipt, and corporate credit card transactions with flexibility while supporting virtually unlimited matching fields to reduce manual manipulation and tedious, non-value add concatenations.
Control Data Quality and Performance at Scale
Ensure accuracy and speed with built-in data integration and quality, user-managed indexing, archiving, and purging.
With proven volumes and performance to support up to hundreds of millions of transactions per month.
Satisfied Customers
Delivering 100% Customer Success
“The OneStream platform is now core to McCain Foods Limited – uniting consolidation, planning, tax and analysis teams. OneStream Services’ strong leadership and technical knowledge was instrumental in our successful implementation. Their ability to actively listen to our goals and objectives and interpret during the design phase allowed us to create a system not only to satisfy our immediate needs, but to address our future needs.”
Richard N. Burton
McCain Foods
Seamless Data Integration
Load transaction data from multiple sources into the OneStream platform and our transaction matching software utilizes AI for advanced anomoly detection.
- Load data via flat files or direct connection
- Data can be imported daily, weekly, monthly or ad hoc when needed
- Perform data stacking and splitting to support your transaction matching
Workflow & Process
OneStream has the ability to design the user experience around the process and apply controls, validation & governance on ESG data collection, managing the monthly, quarterly and yearly tasks together.
Leverage OneStream's Task Manager solution to manage and orchestrate the process further and enable email notifications
Reporting & Analytics
Unify financial & operational insights to drive performance and deliver value. Deliver the right information, in the right format, at the right time
- Configurable dashboard visualizations to provide deep analysis of ESG data and turn it into valuable information and insights
- Data Blending capabilities supports reporting on high volumes of non-financial data
- Perform ad hoc analysis in Excel with our Exel plug in
- Integrate with other Microsoft Office products to produce & distribute ESG PowerPoint packs, Word docs and pds with ease
Transaction Matching Solutions
Account Reconciliations Software
Financial Close & Consolidation
Financial Data Quality Management
Financial Reporting & Analytics Software
Transaction Matching Related Resources
Account Reconciliations – The Game Has Changed
View blog post
Interactive Solution Brief: Conquering Complexity in Transaction Matching
View solution brief
How West Bend Mutual Insurance Transformed Financial Close & Reporting
View blog postTake Finance Further.
The only enterprise finance platform that unifies all your operational data, embeds AI for better productivity, and adapts to fit your exact needs.
FAQs About Transaction Matching Software
Transaction matching is the process of comparing and reconciling two sets of transaction data to ensure they align. The goal is to ensure that both sets of data are accurate and consistent.
