Dataland is a unified data workspace specifically intended for frontline, operational users – like supply chain, logistics, operations, and customer support. Dataland centralizes all data into one place, so business users can ask AI, search, analyze, and take actions against data in one place. Business teams use Dataland to get a 360-degree view of all the data they need for their day-to-day workflows. Here’s how Dataland works: Real-time Data Sync: Dataland has built-in connectors to databases, data warehouses, SaaS APIs, and custom sources. Unlike traditional data integration tools, Dataland live-updates in real-time from its source systems, which is necessary for operational use cases. Universal Search: Dataland indexes the data in real-time and enables operational users to quickly search for up-to-date information across all attributes in all data sources. This enables users to quickly get the full context they need without having to know where to look or to use inflexible tools that can only look up information in specific pre-defined ways. 360-Degree Views: Dataland combines information from fragmented data sources into unified views that provide the complete 360-degree picture of every business entity. This eliminates the need for users to jump across multiple tools. AI Data Assistant: Users can ask AI to analyze data for them, without knowing SQL. Automations and Alerts: Custom business actions can be made available to operational users (e.g. triggering a Zapier automation, hitting an internal API, executing SQL updates, etc.) so they can complete end-to-end workflows in Dataland without ever having to leave the platform. Users can also define alerts through a simple interface without knowing code.