Insights for Today’s Financial Landscape.

Comprehensive data access. Faster financial data analytics. Improved decision-making.

Take the guesswork out of financial services

From Wealth and Asset Management and Services to Commercial, Business and Consumer, or even Mobile Banking, Financial Brand Strength relies on the ability to adjust to market conditions and customer demands in real time.


Whether you’re approving a borrower, making investment decisions or elevating the customer experience, Financial Business Data is incredibly complex and muti-sourced, to say the least. On top of that, working through systems of record and against regulatory and compliance dictates makes data access, preparation and querying a challenge for IT and line of business alike.


Financial brand leaders rely on Incorta to see clearly through large complex data challenges and gain speed and agility in financial data analytics and decision-making or pivots called for in today’s real time pace.



Incorta’s Direct Data Mapping™ engine unifies all of your data sources, giving you comprehensive insights about the most complex, real-time data. The result? Decisions you feel confident about.

Data Complexity — No Problem.

Tap into and access the data you need from any source. Complex data from many sources — thousands and even millions of data points for large-scale queries — is Incorta’s strength. Incorta unifies this data without the need for a traditional data model design, giving you more comprehensive insights.



Agility is everything in finance. That’s why Incorta’s financial data analytics solution is designed to perform hundreds of joins on the most complex data in seconds — not hours.


Don’t miss out on an opportunity because you don’t have real-time data. Incorta allows you to run multiple direct data loaders in parallel to provide real-time full and incremental data updates.



Your financial data is sensitive. Our first-of-its-kind technology is able to retain all application-level security parameters including object, column, and row restrictions. Individual data rows are contextually restricted using runtime security filters. Of course, we also cover all the basics: encrypted passwords, encrypted communications, role-based access controls to limit access to data and visual objects, and auditing for all changes.