CBTS, a leading provider of AI-Ready IT services and solutions to Fortune 1000 organizations across North America, proudly announces the launch of its Data Analytics Service, suite-of-solutions, designed to help enterprise organizations unlock the full potential of their data and accelerate their journey toward AI-driven innovation.
Businesses today generate over 2.5 quintillion bytes of data every day. Yet, according to Forrester Research, up to 73% of enterprise data remains unused for analytics. CBTS’s Data Analytics Services tackle this challenge head-on by delivering a unified, end-to-end strategy that transforms raw data into actionable insights—fueling smarter decisions, greater operational efficiency, and a stronger competitive edge.
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A Unified Strategy for Real-Time Intelligence
CBTS’s Data Analytics Services provide a comprehensive framework that includes:
- Modern data architecture: Centralized cloud-based repositories to break down silos and enable scalable analytics.
- Data integration and governance: Ensuring data quality, security, and compliance across the enterprise.
- Advanced analytics and AI readiness: Deploying BI tools and AI solutions tailored to business goals.
- Training and change management: Empowering teams with data literacy and ongoing support to drive adoption.
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“Our Data Analytics offering is designed to bridge the gap for organizations that are drowning in data but starving for insights,” said Kristin Russell, CEO of CBTS. “By helping enterprises harness their data, we empower them to make faster, smarter decisions and prepare for the future of AI, ensuring they unlock the true potential of advanced analytics for their business.”
CBTS delivers strategic foresight by applying advanced analytics and AI to uncover trends, forecast outcomes, and identify new opportunities. CBTS’s solution also ensures consistent metrics and accountability across departments, fostering a data-driven culture and aligning teams around shared goals. Finally, it offers scalability and future readiness, enabling organizations to seamlessly incorporate new data sources and technologies like Internet of Things (IoT) and AI as they evolve.
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Source – businesswire
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