Fast deployment — and even faster data integration
Redstone deployed Incorta in just a matter of days and then pulled in 13 million records from its Fiserv core banking system in a mere 43 seconds
Freedom to innovate with data
Redstone’s data science team can move faster and innovate more freely with data because they no longer have to rely on the IT team
Accelerated query response times
Queries return results in sub-second response times — even highly complex queries sourcing data from multiple internal and externa
Fragmented data was holding back BI and data science
Redstone Federal Credit Union wanted to leverage data to gain more visibility and control over banking operations, and ultimately deliver more value to its members. But fragmented data spread across a patchwork of systems and applications prevented the credit union from making the headway it desired.
A fast, flexible unified data and analytics platform
Incorta is the “data hub” for Redstone’s data science team, which leads the credit union’s machine learning efforts. With Incorta, data scientists can independently organize and join complex data, build schemas and create new dashboards — all without burdening IT.
Product update for Q3 2022: data applications, components and marketplace
Incorta product experts discuss and demonstrate some of the exciting new features that further extend the Incorta platform’s agility and extensibility.
Best practices – using Incorta to modernize your Oracle BI environment
Readers will learn about new developments in analytic platforms that can help their organization boost productivity, speed time to insight, and enable self-service access to the latest data.
OCTOBER 26, 2022
Workshop: Simplify raw data for real-time operational analytics
Data innovators and architects are working to find a solution that simplifies the extraction process, integrating all the data from across source systems into a single source to run operational analytics. Join Viscosity and Incorta to learn about a new approach to extracting data from multiple source systems.