DataSelf AI+

Introduction

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
Open platform supporting Power BI, MS Copilot, Tableau, Domo, Claude, ChatGPT, and others.
No-code, low-code, and full-code customizations
MCP framework to connect your BI data to your AI Agents and tools

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
Slow running queries	Fast running queries
High AI token consumption	Lower AI token consumption