In the age of AI, Data Graphs helps organizations create a centralized knowledge hub that enhances collaboration, optimizes workflows, and drives data-driven decisions. It connects diverse data sources and helps break free from the traditional barriers of siloed systems to accelerate innovation.
Access company information seamlessly through an intuitive, centralized system. Ask questions in natural language and leverage GenAI and LLMs for instant, actionable insights.
Data Graphs integrates data from diverse sources (such as DAMs, MAMs, PIMs, documents, wikis, and databases), highlighting connections to simplify the process of finding and sharing information.
A large enterprise uses Data Graphs as a unified knowledge management hub. Employees can ask questions in natural language and receive answers to information typically dispersed across departments and systems, and known only to subject matter experts.
Enhance information discovery with advanced search capabilities and intelligent suggestions.
Data Graphs employs context-aware search, moving beyond basic keyword matching to connect knowledge assets with relevant content.
In the music industry, a record label can use Data Graphs to help employees quickly locate artist contracts, song licensing agreements, promotional materials, and related assets like tour schedules or marketing plans. This ensures teams can access the right information without sifting through disparate systems.
Combine customer data and market intelligence for a complete picture.
Data Graphs combines customer data, market research, sales insights, and feedback, uncovering relationships between customers, sales, and trends to extract valuable insights.
A retail company can connect purchase history, customer feedback, and website interactions through Data Graphs to better understand customer preferences, enhancing targeted marketing strategies.