Data Mercatus
A successful analytics strategy begins with impactful use cases. While simplicity has its benefits, achieving measurable, high-value outcomes is what truly drives momentum. Data Mercatus harnesses the power of generative AI to expertly guide you through identifying use cases that blend internal and external data sources to unlock new insights. Our AI-powered chat experience provides step-by-step guidance to help you define, evaluate, and implement use cases that deliver tangible results. Start exploring Data Mercatus today!
Click an image below to see examples of use cases generated by Data Mercatus. Users are free to explore these and others in more detail.
Data Mercatus for Research
Coming soon! Data Mercatus for Research leverages the same generative AI-powered chat as Data Mercatus, but is focused on deeper exploration of data providers. You will be able compare multiple providers in a standard framework, understand key differences, assess pricing models, and uncover integration best practices tailored to your needs. With Data Mercatus for Research, you’ll gain the insights necessary to make informed, strategic decisions when selecting the right data partners.
Data Mercatus for Execution
Coming soon! Data Mercatus for Execution takes the power of generative AI into the next phase: making your data strategy actionable. Designed to guide you through the complexities of data integration, Data Mercatus for Execution focuses on helping you plan and execute your data strategy seamlessly.
Whether you’re navigating integration challenges, evaluating service partners, or considering how to harmonize external data with internal systems, Data Mercatus for Execution will offer tailored guidance for your unique needs. With actionable insights and expert-driven suggestions, you’ll be equipped to overcome the hurdles of implementation and ensure your use cases are fully aligned with your organization’s goals.
Data Mercatus is powered by a large language model (LLM) fine-tuned to provide specialized insights in external data sourcing, procurement best practices, and marketplace analysis. Leveraging a broad corpus that includes industry-specific marketplace listings, best-practice guides, and proprietary data insights, the model has been trained to address unique challenges faced by businesses in identifying and integrating third-party data sources.
Unlike general-purpose models, Data Mercatus’s backend LLM is purpose-built for the nuances of data strategy, including vendor evaluations, quality assessments, and data application scenarios. It’s designed to offer actionable recommendations, supporting you in navigating complex data ecosystems and uncovering optimal use cases for external data.