Data Analytics and Modernization
RTS Data Analytics service helps clients modernize their data landscapes and become analytics-driven, enabling them to monetize their data.
We understand that modernization is not a one-size-fits-all approach and that each enterprise requires a contextual approach to achieve their specific business goals. Our focus is on renewing enterprises and helping them deliver their business objectives rather than just focusing on cost reduction and technology.
From a data landscape perspective, we create data solutions that are future-ready, scalable, real-time, high-speed, and agile. We align with a cloud-first strategy to reduce costs by consolidating disparate solutions. Our transformed landscapes provide customers with self-service, high-performance, and intuitive visualizations-based analytics.
Traditional enterprise data warehouses and operational data stores are experiencing challenges such as data explosion, data latency, and increasing data management costs. This issue requires data landscape modernization to renew infrastructure and achieve zero latency in data and insights, with intelligent insights to aid in the business decision-making process. However, many enterprises struggle to keep pace with this modernization journey.
RTS addresses scalability, latency, and cost-related challenges that clients experience with their existing systems, enabling a data landscape that scales 50x with 1/50x latency and 1/50x cost. Our goal is to create a new reality where there is no longer a divide between the physical and digital worlds. We bring all our expertise, experience, and skills to acquire, analyze, and monetize the explosion of data.
Our solutions enable customers to transition to an analytics-driven enterprise and monetize their data for customer intimacy, operational efficiency, and new revenue models. We help enterprises optimize, transform, and digitize their legacy systems to become real-time enterprises. With our expertise in data analytics, we help organizations make fact-based business decisions to grow revenues, improve efficiency, optimize customer service, enhance responsiveness to market trends, and increase competitiveness. We develop data-centric and insights-centric solutions using best-fit technologies and architectures, mapping business processes to enterprise data.
