Data Modernization & Real-Time Analytics Drives Agile Decisions For A Financier

Real-time, centralized data access for better business insights and decision-making

A US-based real-estate finance company renowned for its innovative solutions in financing and servicing of small- to medium-sized commercial loans was ready to usher in efficiency with a modernized infrastructure to handle its data needs. As a market leader, the customer operates a diversified, full-service commercial real estate (CRE) & small business lending platform. However, legacy infrastructure was failing to keep up with its need for quicker insights and real-time data to support business decision-making.

As one of the largest providers of capital to small businesses, the firm wanted to boost the efficiency of data management as it continued to scale up and tap into real-time analytics to support decision-making. The team knew that to achieve their goals and make decisions efficiently, they would have to move to something more centralized that offered a quick overview of the data and business.

One of the key challenges was missing and inconsistent fields. These data inconsistencies necessitated constant workarounds and would often disrupt the flow of accurate data needed for effective decisions. The existing ETL tool was outdated and didn’t have the flexibility that was needed to be as adaptive and responsive to evolving data needs as the business needed.

Snowflake-based warehouse on AWS fuels quicker data access and decision-making

The Cloud Kinetics team was brought on board to help enable data modernization and digital transformation. The team validated the vendor’s externalization process, enabling faster access to readable data and improving decision-making speed.

• A Snowflake-based data warehouse on AWS was chosen to help centralize data for real-time access and better business insights.
• Workarounds were implemented for missing fields, ensuring smooth migration and minimizing operational disruptions.
• Reviewed and confirmed the vendor’s externalization process.
• Cloud Kinetics also conducted data comparisons to ensure alignment, thereby reducing errors and supporting reliable business reporting.

Efficiency and real-time analytics as a backbone for future growth

The team executed seamless data migration from Oracle to Snowflake on AWS.

• A high level of accuracy (80-90%) in field mappings was achieved, ensuring reliable data for decision-making.
• Critical mismatches were addressed based on business input.
• Key COBOL file data from Oracle were successfully transferred to Snowflake, resulting in the completion of 90% of the migration tasks.
• Secure data sharing facilitated effective information exchange and data use while ensuring compliance.

By transforming its data ecosystem, the real-estate finance company is now prepared to unlock the full potential of real-time analytics. The new modernized infrastructure ensures that its data processes have the agility, accuracy, and scalability needed to power continued growth in the industry.