Reinventing reconciliation solutions by putting data first
Reinventing reconciliations
View brochureMaking reconciliation simple, smart and reliable
FIS® Data Integrity Manager (formerly IntelliMatch) reimagines reconciliation solutions and the way reconciliation professionals address challenges such as data inaccuracy and fragmentation, variation, convolution and degradation.
This SWIFT-accredited solution uses an automated reconciliation system to centrally track data integrity and reconciliation processes, simplifying the user experience. It also embeds artificial intelligence (AI) to solve your fast-changing data integrity challenges.
Client story
Crédit Agricole Egypt
Crédit Agricole Egypt automated the validation of millions of transactions by eliminating manual reconciliation and exception management processes.
Read their storyInsights
An end to the data point juggling act
With more data points to manage, manual processes can grow out of control, along with costs and errors – unless you put automation on your side.
View animationA fresh operating model is key
Innovative technology alone isn’t enough for efficient and agile reconciliation. Our expert, Dexter Thompson, explains the need for a new approach.
View Q&AHow effective is your strategy?
Technology changes as fast as the markets, so if you’re not up on the latest and greatest, you’ll soon fall behind the competition.
Read e-bookFrom spreadsheets to tailored technology
Spreadsheets may have served you well in the past, but the time has come for a more tailored approach using powerful, intuitive technology.
View infographicReconciliation shouldn’t be a burden
As data integrity becomes more critical, businesses face mounting pressure. But you can push past it all with the right reconciliation approach.
Are you spending too much?
Firms must improve their speed to market to compete and grow, but they also need to keep costs and risks to a minimum.
Are your controls robust enough?
Regularly reviewing the performance of your reconciliation function is vital due to the nature of data, systems, resourcing shifts and business changes.
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