Data-as-a-Service (DaaS)
Provide clean, structured, and enriched datasets that businesses can use for analytics, AI training, or market research. This service saves time on data preparation and ensures access to high-quality, reliable data.
Example Case Study: Market Research for Startups
A fintech startup subscribes to a DaaS platform that provides enriched financial behavior datasets. These datasets include anonymized transaction patterns, credit usage, and demographic trends.
Using this data, the startup builds a credit scoring model for underserved populations. The DaaS provider saves them months of data collection and cleaning, allowing faster product development and market entry.