Yes. We provide end-to-end strategic and technical support for building external-facing data marketplaces, from platform architecture to governance frameworks. Our approach helps organizations securely connect data assets with external consumers, creating a structured, scalable revenue stream with the governance controls needed to maintain trust and compliance throughout.

HCLTech Spotter DQV uses advanced ML and deep learning models to automatically identify and correct data quality problems before they escalate. Its capabilities include outlier detection, data imputation and variance anomaly identification—all delivered through a standardized, framework-driven approach that makes deployment efficient and results consistently reliable.

Yes. We help organizations design and implement data mesh architectures that distribute data ownership across business domains. This approach reduces bottlenecks, breaks down silos and improves agility, making it particularly effective for large, complex enterprises where centralized data management struggles to keep pace with organizational demands.

Absolutely. We help organizations build data literacy by expanding their teams' ability to understand, interpret and communicate data effectively. Our programs are designed to close the gap between data availability and data confidence, so better decisions and stronger innovation follow naturally from the data investments you've already made.

HCLTech Graviton combines data platform modernization with a built-in collaboration framework that includes a rules repository, cost-of-quality tracking and a real-time data quality dashboard. It gives enterprises measurable visibility and control over data standards, making governance a manageable, ongoing practice rather than a reactive challenge.

We offer a comprehensive set of data quality capabilities, including tools, control mechanisms and stewardship workflows designed to build genuine trust in your data. Our accelerators—Graviton and Spotter DQV—provide automated detection, monitoring and correction so your teams always have accurate, consistent data ready to use.

Our data cataloging services give enterprises complete visibility and ownership of data assets across the organization. We help clients establish clear metadata management, improve discoverability and ensure data is accessible and easy to use, creating the strong foundation that effective data marketplaces and governance programs depend on.

HCLTech Graviton and Spotter DQV are our primary accelerators supporting data marketplace projects. Graviton provides governance infrastructure and quality monitoring, while Spotter DQV automates issue detection and correction. Together, they help ensure the data flowing through your marketplace is trustworthy, compliant and ready for both internal and external consumers.

External data sharing through a structured data marketplace enables a direct data monetization revenue model, connecting your proprietary data assets with external consumers who need them. We help clients build the platform architecture, governance frameworks and access controls required to make this a reliable, high-ROI revenue stream at scale.