DataSelf AI+
How easy is it for you to model your data, design (or customize) the reports you need, and reach the insight you need?
DataSelf AI+ includes the following features that simplify the reporting and data analysis process:
AI-assisted SQL and modeling generation (for analysts) with advanced reporting needs
AI-assisted KPI creation (for executives) desiring specialized metrics
MCP (Model Context Protocol) framework to connect your BI data to your AI Agents and tools
Conversational AI interface (for business users) for ‘natural language querying’
By leveraging BI with AI, you get the most effective decision support system that your organization requires.
Why AI Needs Trusted Data
AI is only as trustworthy as the data beneath it.
DataSelf AI+ combines conversational analytics with automated data warehousing, cleansing, optimization, and DFT+ (Dimension, Fact, and Time) modeling — enabling fast, governed, and curated data for accurate business insight.
AI hallucinations caused by fragmented transaction data such as from ERP, CRM, and payroll.
AI must sit on top of governed business data.
AI+ powers ETL+ and DFT+ to extract and model your data into consistent KPIs that feed insights.
By defining your SVOT (Single Version of the Truth) via SPOTs (Single Points of Truth) on your data warehouse, you guarantee curated, fast, low token-consumption data for BI and AI insights.
What Makes DataSelf AI+ Different
Built on trusted business data
Mid-market transaction system focused (such as ERPs, CRMs, and other systems)
Automated DFT+ modeling
8,000+ KPI templates
Natural language analytics
Infinite drill-down
Supports Power BI, Tableau, Domo, Claude, Open AI, etc
No-code, low-code, and full-code customizations
Cloud and/or on-premise MCP framework to connect your BI data to your AI Agents and tools
Industry Focused
Includes templates customized for several industries such as:
Construction
Distribution
Manufacturing
Professional services
Field services
Architecture and Deployment
Supports Azure, AWS, other cloud providers, and on-premises
Can run behind the client firewalls
Optional dedicated architecture
Supports HIPAA/FedRAMP-oriented deployments
O365 authentication support
AI Limitations Without BI
Generic AI | DataSelf AI+ |
|---|---|
Reads disconnected data | Uses integrated data warehouse |
Inconsistent metrics | SVOT-driven KPIs |
High hallucination risk | Governed business data |
Weak SMB context | SMB focused and priced |
Requires prompt engineering | Business-ready analytics |
Other materials: