Quantalytix Unveils Enterprise Data Management Platform
—Designed for community financial institutions to enable data accessibility, improve data quality—
BIRMINGHAM, Ala., Oct 31, 2023 –Quantalytix, the provider of cloud-based Enterprise Bank Management (EBM) software for financial institutions, announced today the release of its Enterprise Data Management (EDM) platform, a groundbreaking update to their flagship Enterprise Bank Management (EBM) application. The new EDM platform automatically examines a financial institution’s data lake to identify the most viable data components and migrates that information to a data mart, the foundational elements for training Artificial Intelligence (AI) and Machine Learning (ML), as well as basic reporting and analysis.
Quantalytix’s CEO and Co-founder, Chris Aliotta, said, “As banks evolve, data is increasingly important to future success. Unfortunately, many community financial institutions rely on very manual, very complex processes to access data, and often, these methods yield inaccurate, faulty results. We developed the EDM platform with community banks in mind, providing an automated solution that is sophisticated, yet simple to use, requiring no specialized resources or expensive data scientists to operate. We partnered with community banks to better understand their challenges with data and used this feedback to guide the design and development of the new EDM application.”
With EDM, banks are able to easily consolidate and organize data to support more accurate reporting which supports both “at-time’, as well as historical transactional information. The platform is designed to be accessible and user-friendly for individuals of all technical backgrounds and skill sets within an organization, promoting inclusivity and efficiency. The system provides an enhanced visual and user experience, with data points and information thoughtfully organized in a more logical and streamlined manner. This significant improvement aims to empower users with an intuitive and efficient platform. Additionally, the new query engines are designed to manage complex queries and reporting, providing a robust and lightning-fast experience for users. This includes new screens to facilitate better balance sheet management.
One of the most significant developments is the EDM’s ability to extract, transform and loading (ETL) data from data lakes to data marts where it can be harnessed for comprehensive reporting and analytics, enabling banks to train future AI and ML initiatives. "This release is a testament to Quantalytix's unwavering commitment to meeting the evolving needs of our customers and pushing the boundaries of fintech software," said Aliotta. "We are focusing on what matters most to the community and commercial banking space—access and data quality. This is just the beginning. This product enhancement lays the groundwork for what will be the future analytical pieces such as forecasting, valuation, and other exciting developments in the upcoming quarters."
Dedicated to staying at the forefront of innovation, Quantalytix's enhanced platform represents a significant leap in fintech capabilities, and it is poised to redefine how banks manage and leverage their data.
Based in Birmingham, Ala., Quantalytix was founded by two former bankers who recognized a void in the current marketplace. In response, the company launched a cloud-based software and enterprise bank management platform that serves as a single-source of truth for reporting, analysis, and profitability to drive actionable analytics. The platform seamlessly integrates with existing business systems, automatically aggregates data and provides real-time views of performance to enable more efficient operations, improve the customer experience, increase profitability and boost productivity.
Working with both traditional and non-traditional lenders, more than $7 billion in loan volume is currently managed on the Quantalytix platform. The platform is SOC2 Type 1 compliant and includes built-in quality assurance checks and sophisticated security features to ensure the highest levels of data integrity.