Shape Analytics Studio (DataIQ Engine) is an AI-powered analytics platform that lets you query your data in plain English, explore data with executive-ready insights, and get nuanced, analyst-grade answers. It combines natural language querying, advanced SQL, and intelligent data interpretation to help teams derive actionable insights without heavy SQL gymnastics. It also offers embeddable analytics, Slack/Teams integrations, and SOC 2 Type I security across plans.
How Shape Works
- Ask in plain English. You can query your data stack using natural language.
- AI interprets and translates. The engine converts queries into optimized SQL, joins, and unions as needed.
- Return insights with context. Generated answers include caveats, assumptions, and data visualizations when applicable.
- Visualize and share. Dashboards and charts can be embedded or shared across your team.
The platform emphasizes analyst-grade reasoning, providing nuanced interpretations and clear assumptions, rather than just raw numbers.
Core Capabilities
- Natural-language querying of your data stack (plain English to SQL)
- Advanced SQL generation: includes complex joins and unions
- Nuanced, analyst-style answers with explicit assumptions and caveats
- Automatic data visualizations and embeddable dashboards
- Fast, accurate data interpretations across multiple data sources
- Data security: SOC 2 Type I compliant, credentials stored with industry-standard encryption
- Collaboration-friendly: Slack and Microsoft Teams integrations, with dedicated bot support
- Flexible deployment: works with your existing datastack and data infrastructure
- Templates and presets for editorial vs. news article performance, ROI analysis, campaign metrics, and more
- Pricing tiers with included users and add-on options; 30-day money-back guarantee
Typical Use Cases
- Quick ad-hoc analytics in plain English without writing SQL
- In-depth performance analyses (e.g., ROI, channel performance, editorial vs. news impact)
- Team-wide access to AI-assisted analytics with governance and security
- Embedding analytics into products or internal apps via API and components
Safety and Considerations
- Clearly states assumptions and caveats in every answer
- Uses your data only within the secure environment and adheres to encryption and SOC 2 standards
Quick Start
- Connect your data sources / datastack
- Ask questions in natural language (e.g., "What were the top countries for AI course demand last month?")
- Review generated SQL, insights, and visualizations; share or embed as needed
What makes Shape stand out: Thinks like an analyst, delivering nuanced, pre-analytical reasoning and actionable insights, not just raw metrics.