Sundial provides a unified platform combining dashboards, analytics, and notebooks to enable self-service business intelligence. It connects to diverse data stacks to model data with business context, creating a canonical source of truth for metrics and entities. The platform uses AI to deliver fast, focused insights, allowing teams to make confident decisions quickly.
Funding
$23.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Business teams often struggle to efficiently analyze raw data and extract actionable insights due to the complexity of data pipelines, SQL queries, and custom coding requirements. This inefficiency delays decision-making and prevents business users from quickly accessing and customizing industry-standard metrics and visualizations.
Solution
Sundial is a data analytics platform designed to empower business teams to transform raw data into actionable insights through pre-computed metrics and visualizations, eliminating the need for complex SQL or coding. The platform offers an expert library of industry best practices that users can quickly access and customize to suit their unique business needs. By providing self-serve access to data questions, Sundial frees up data teams to focus on more creative problem-solving, while enabling business users to make informed decisions based on readily available insights. The platform combines data modeling, dashboards, and analytics into a single solution, allowing users to extract, transform, and lead within a single day.
Target Audience
Sundial primarily targets business teams and data scientists within organizations that need to efficiently analyze data and gain actionable insights without extensive coding or SQL knowledge.
Features
- Pre-computed insights and visualizations for rapid data analysis without coding
- Customizable industry-standard metrics and analyses tailored to specific business needs
- Data modeling capabilities to define entities and metrics directly from source tables
- AI-powered question answering for quick access to relevant information
- Interactive dashboards and reports for in-depth data exploration
- Support for cloud-based raw data sources