Quantalytix Releases Next Generation of Enterprise Bank Management Software

BIRMINGHAM, Ala.--(BUSINESS WIRE)--Quantalytix, the provider of cloud-based Enterprise Bank Management (EBM) software for financial institutions, announced today the availability of the second generation of its Enterprise Bank Management software featuring a new Extract, Transform and Load (ETL) module, as well as an enhanced Loan Portfolio Management (LPM) module. Developed and launched by two former bankers, the latest release of the EBM software now includes the industry’s first automated quality assurance data checks and data guards to improve overall data accuracy.

Quantalytix’s cloud-based software equips community financial institutions with actionable intelligence needed to implement a sound data strategy. The new ETL module connects multiple data sources, including various cores, flat files, and enterprise database systems, into a single location. Erroneous information is automatically detected and blocked from entering the system, improving the integrity and accuracy of the data. Additionally, Quantalytix released an enhanced LPM Module with faster, more robust reporting and analysis. The system can now compile and aggregate millions of datapoints within milliseconds, providing financial institutions real-time access to information needed to effectively identify and monitor problems, as well as opportunities to drive growth and gain efficiencies.

Industry Board Member, Financial Consultant, and President of S. J. Viner and Associates, Stan Viner, said, “In the digital era, credit union members expect personalized, convenient experiences tailored to their unique needs or those of their business. Digital transactions provide valuable member information enabling you to capture which messages resonate with members as well as where, when, and how they engage with your brand or services. Applying analytics to this information gives you the critical insights needed to enrich experiences, tailor offerings and secure longer lifetime member loyalty.”

Poor data quality has an immediate impact on revenue and ultimately leads to poor decision making. A recent report from Gartner indicates that poor data quality costs organizations an average of $12.9 million each year. Quantalytix’s EBM software for credit unions provides automated quality assurance data checks and data guards to improve overall data accuracy. Erroneous information is automatically detected and blocked from entering the system, improving the integrity and accuracy of the data.

Additionally, the software features two advanced modules:

• The LPM Module compiles and aggregates millions of datapoints within milliseconds to provide credit union executives real-time access to robust reporting and analysis;
• An advanced Extract, Transform and Load (ETL) module connects multiple data sources, including various cores, flat files, and enterprise database systems, into a single location.

Quantalytix’s EBM software aligns a credit unions’ data strategy with how they want to run their institution, offering real-time, sound data and actionable insights to more effectively manage loan portfolios, reduce risk and better serve members with increased lending options. The EBM software can help any credit union be more productive, make better strategic decisions, identify and act upon growth opportunities, and focus on their members.

Aliotta continued, “In this increasingly uncertain economic environment, data analytics are imperative to sound decision making. Replacing antiquated, manual reporting with automated, real-time actionable insights is transformative for credit unions and their members. Our goal is to ensure credit unions have access to advanced data analytics tools that don’t require any additional resources or specialized training.”