Best Nonprofit Data Modeling Tools

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

AI-powered Business Intelligence. Cut through the data modeling hassle. Create sales dashboards, get insights, & collaborate instantly. Build sales dashboards in less than 15 seconds. Whether you’re a business analyst, a BI consultant, or a CEO, anyone can work with Zebra AI: just upload your data and let our AI work the data & generate your dashboard instantly. We’ve made Zebra AI secure – because your business data should be yours alone, and not part of a massive machine learning project. You don’t need another chart maker. Zebra AI is your trusty consultant to help you spot trends, retrieve information, and make compelling presentations. Share your dashboards and AI chats. Enable your entire team to work with the same source of truth – and all of this, in just a couple of clicks. This is more than just a powerful chatbot: it’s a tool experienced data analysts can wield to be more effective – no matter how complex your question or analysis is.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

Transforming complex data networks into clear insights. Dtangle leverages a revolutionary open source technology from CERN and AI assistants, transforming complex data landscapes into clear, actionable insights. With our revolutionary solutions, sift through data with precision, isolating the essentials from the clutter. Dtangle’s visual analytics tools let you explore data from angles of interest, ensuring that you’re always presented with valuable data threads. Even the most intricate data networks are made comprehensible, translating complexity into visuals that speak clarity. At Dtangle, we provide advanced visual tools to help companies decipher their data patterns. With user-friendly interfaces, even those without a data background can derive actionable insights. Dtangle takes data analysis to a whole new level. Transcend traditional data and network analysis by harnessing the full potential of data science.

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.