The Modern Data Company, a pioneer in data products that radically simplify how enterprises activate their data, today announced the Data Product Hub, a powerful new addition to its DataOS® platform. The Data Product Hub streamlines data consumption, serving the majority of data product use cases and enabling business users to leverage data products independently.. The DataOS Hub democratizes access to trusted data and accelerates digital transformation across the enterprise.
The DataOS platform is already transforming how organizations build, manage, and use data products, solving complex data challenges with unprecedented speed to business value of up to 90% faster than traditional methods. The Data Product Hub takes this one step further by making these powerful data assets accessible to business users across the enterprise. While DataOS ensures data quality at its foundation, the Hub makes consumption effortless through business-friendly accessibility that provides clear context, quality metrics, APIs, including LLM APIs, GraphQLs, built-in governance and more. This combination accelerates the path from data to decisions, enabling organizations to build a genuinely data-driven culture.
"The Data Product Hub addresses one of the biggest pain points in modern digital business: data accessibility and utilization," said Srujan Akula, CEO of The Modern Data Company. "In an era of unprecedented data generation and growing demand for high-quality data to power both business decisions and AI models, it's time for organizations to shift from a focus on data management to data activation as the true business asset. The Data Product Hub supercharges DataOS by democratizing trusted data access across the organization, empowering business users to apply data to make confident, data-driven decisions without technical constraints. This breakthrough not only streamlines operations but also unlocks the real potential of an organization's data, fueling innovation and competitive advantage.”
A recent ThoughtWorks study revealed a stark reality: 87% of tech and data leaders are confused about where to find data. True "usable data" must be high-quality, universally accessible, and easily understood within its context. When organizations drown in raw data but lack accessible, usable data, they face critical decision delays and stalled business progress. This data accessibility gap not only slows time to insights but also hinders effective AI adoption, limiting an organization's ability to leverage advanced analytics and machine learning. Consequently, the transformation of raw data into actionable, contextualized information becomes not just beneficial, but essential for maintaining a competitive edge in today's data-driven landscape.
The Data Product Hub is able to power the majority of data consumption use cases with trusted, business-ready data, including:
- Business Intelligence & Analytics: Directly transform customer and marketing data into action with Customer 360 models, media and campaign performance, customer behavior, and market opportunities.
- AI & Machine Learning: Power predictive models for customer retention, lifetime value analysis, and intelligent product recommendations.
- Enterprise Applications: Optimize operations with smart applications for financial management, customer experience enhancement, and automated inventory control.
- API Services: Enable rapid application development and secure data sharing with flexible API options, including REST, GraphQL, and SQL, tailored to diverse application and integration needs.
- Generative AI & LLM: Supercharge customer interactions with AI-powered chatbots, intelligent expense monitoring, and enhanced customer service automation.
Key features and benefits
- Unified Business Metrics: Offers a unified source for key business metrics that goes well beyond data access. This centralization ensures consistency across the organization and accelerates the decision-making processes.
- Accelerated, Tailored Insights: 90% faster time to generating trusted insights that can be integrated into your business processes–without compromising data integrity, quality or security.
- Seamless Ecosystem Integration: Connects smoothly with existing analytics, AI and machine learning (ML) tools, for easy integration with current tech stacks.
- Streamlined Self-Service: Empowers business users to find and use data without relying on IT teams.
- Enhanced Data Context: Offers rich metadata and semantic models, delivering business-ready data with full context.
- Governance and Security: Integrates compliance, security, and quality into every data product, ensuring large enterprises can rely on their data for sensitive and mission-critical decisions. This ensures data remains accurate, compliant, and trustworthy without compromising ease of use, and without the need of duplication.
For more information on the Data Product Hub and DataOS, visit: https://themoderndatacompany.com/dataos/
