Question: I'm looking for a solution that can structure and enrich raw corporate data to improve decision-making.

If you need a way to process and enrich raw corporate data to make better decisions, Shelf is a good candidate. It includes unstructured data management, which can transform raw data into structured data that can be used for AI and machine learning analysis. Shelf helps you overcome common corporate data challenges such as errors, stale data, partial duplication and high risk. Shelf uses a five-step approach to enrich data, making it more usable and better for knowledge management.

Another good candidate is Collibra, an all-purpose data intelligence platform. Collibra offers data management tools like AI Governance, Data Catalog, Data Governance and Data Quality & Observability. It helps you work more efficiently by automating data tasks and giving you a unified view of data assets across the organization. With data discovery, curation and policy enforcement, Collibra is designed to improve productivity and minimize manual effort.

If you want something more AI oriented, Dataiku is a platform that makes AI accessible for everyday use. It can be used for generative AI application development, data preparation, machine learning and MLOps. Dataiku also offers collaboration and governance tools so businesses can get better use out of their resources and customers. It's geared for teams working on AI and machine learning projects.

Last, ThoughtSpot is an AI-infused analytics platform that lets you ask complex data questions in natural language and get results to help you make business decisions. It's a self-service analytics tool with natural language queries, visualization and governance controls. ThoughtSpot is designed to make analytics easy and scalable so businesses of all sizes can explore, analyze and share insights in their data.