Data Ramp Launches New Data Optimization Solution for Regulated Industries

GREENSBORO, N.C., March 7, 2025 — Data Ramp, a leader in data optimization, has announced the launch of its latest patented version of fetchcx, purpose-built for regulated industries like banking, insurance and healthcare to optimize data within their own cloud, Azure, AWS, or GCP.

fetchcx leverages advanced methodologies to enhance data quality, streamline data association, and ensure data readiness for AI, business intelligence, and martech applications. This innovative solution eliminates the need for complex data integration processes, allowing businesses to unlock the full potential of their data while maintaining strict security and compliance standards.

Key features of the new release of fetchcx include:

• Enhanced data quality optimization.
• Seamless data association capabilities for both business and consumer data.
• Improved data readiness for AI and analytics tools.
• Customizable, unique, and private ID assignment process.
• Compliance with industry-specific regulatory requirements.

fetchcx embraces Lakehouse methodologies, providing a foundational, low-friction first step in progressively improving the quality of raw data. By deploying within the client’s cloud, the service ensures that sensitive data remains under the organization’s control while benefiting from advanced data optimization techniques.

“We’re excited to offer this game-changing solution to regulated industries,” said Kim Addington, CEO of Data Ramp. “Our patented technology allows businesses to unlock the full potential of their consumer and business data while maintaining the highest standards of security and compliance.”

About Data Ramp

Data Ramp provides the technology and services that enterprises need to take complete control of data optimization. We help business stakeholders take advantage of our services across marketing, BI, AI, and advanced analytics. IT gets an enormous accelerator for taking on major data modernization projects involving data quality and data association of large volumes of consumer and business information.

Source: Data Ramp