Built by Prompt, Queried by Prompt
Discover how AI tools like Cursor transform the entire BI lifecycle by engineering dashboards straight from prompts and enabling real time natural language querying—all anchored on a trusted SQL Server and SSAS data foundation.
- Sep 16, 2026
- 1PM to 2PM EST
- Microsoft Teams
- Live Q&A
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About the webinar
Most conversations about AI and BI focus on one thing: asking questions of your data. But the bigger shift is happening earlier, in how the dashboards and visualizations themselves get built.
This session covers both halves. First, how a proper SQL and SSAS based data warehouse gives you one trusted source of truth. Second, how AI coding tools like Cursor are now used to build the charts, dashboards, and visual layers that used to take BI developers weeks, generated straight from a prompt instead of coded by hand. Third, how that same AI layer lets end users query the data live and get back a chart, KPI, or trend line in plain language, using the exact same data path as the dashboards, so nothing is invented.
From retail to jewelry to senior living, the entire BI lifecycle, building and querying, is becoming prompt driven. Live examples of both are included.
Why this matters
Most BI conversations skip a basic question: who is actually building your dashboards? Coding charts and visual layers by hand takes engineering teams weeks. And when end users try to query that data directly, they run into stale numbers, mismatched logic, or metrics that were quietly invented along the way.
The entire BI lifecycle, building the dashboards and querying them, is becoming prompt driven. Keeping both halves on one trusted data path is the problem this session solves.
How the session is built
Three parts, in order, each building on the last.
01- The trusted foundation
How to structure a real data warehouse, SQL Server plus SSAS cubes, as the single source of truth underneath everything.
02- Dashboards, built from a prompt
How AI coding tools like Cursor build the charts and dashboards themselves, generated from a prompt instead of weeks of manual development.
03- Live querying, in plain language
How that same AI layer lets your team query live data in plain language and get back a real chart or KPI. No filters, no stale numbers.
What you will learn
- How to structure a proper data warehouse (SQL Server plus SSAS cubes) as the trusted foundation underneath everything.
- How AI coding tools like Cursor are used to build the dashboards themselves, generating charts and visualizations from prompts instead of weeks of manual development.
- How that same AI layer lets end users query data live in plain language and get back real answers, not static tiles.
- Why reusing existing BI logic, not inventing numbers, matters whether AI is building the visualization or answering the question.
- Real, live examples across retail, jewelry, healthcare, and senior living.
Who should attend
Executive and data leaders
CEOs, COOs, CIOs, CTOs, CDOs, and analytics leaders tired of slow reporting cycles and stretched analyst teams.
Business function leaders
Retail, healthcare, supply chain, and finance leaders whose dashboards still demand hours of manual digging.
Technical teams
Data engineers, BI architects, and AI leaders who want real conversational access, without abandoning what they already built.
Where it applies
Retail
Sell through and store performance
Query live sales and inventory data the same way the dashboards were built.
Jewelry
Manufacturing, POS and CRM
See prompt built dashboards handle jewelry ERP and manufacturing data.
Healthcare
Care quality and operations
Keep clinical and operational reporting on one trusted data path.
Senior Living
Facilities and resident data
The same trusted warehouse approach applies across scattered systems.
Your presenters
Pramod Thewarkar
Two plus decades in technology leadership at Diaspark, from technical director through R&D into his current role as VP of Technology, with a background in software development and scaling engineering teams.
Raj Vatnani
Leads engineering, AI, and innovation at NuAIg, an AI advisory firm serving healthcare and senior living providers, with two plus decades turning AI initiatives into production systems.
Key takeaways
- How to structure a data warehouse (SQL Server plus SSAS cubes) as a trusted single source of truth.
- How AI coding tools like Cursor build dashboards and charts straight from a prompt.
- How end users query live data in plain language and get back a real chart or KPI.
- Why reusing existing BI logic keeps the build layer and the query layer from ever disagreeing.
- Last call
Bring one dashboard you wish existed.
Seats are limited on purpose, so the Q&A stays sharp and useful. Register now and we will send your Teams link right away.