Every company I've worked with has the same problem: 3 analysts drowning in data requests while 50 other team members wait days for answers. Dashboards help, but they only answer the questions someone thought to build a chart for.
So I built Skopx, a conversational analytics platform where anyone can ask data questions in plain English and get verified answers in seconds.
The Problem With Dashboards
Traditional BI tools like Tableau and Power BI are powerful, but they create a bottleneck:
- Someone needs to know how to use the tool (usually 2-3 people on the team)
- Every new question requires a new chart or dashboard
- Dashboards go stale because nobody maintains them
- Ad-hoc questions still end up in the analyst's inbox
73% of business users can't get answers from their current BI tools without help from a data analyst. That's the gap conversational analytics fills.
How Conversational Analytics Works
Instead of building dashboards, you connect your data sources and type questions:
- "What was our revenue by region last quarter?"
- "Which marketing campaigns have the highest ROI?"
- "Show me customers who haven't purchased in 90 days"
The AI understands your database schema, generates optimized SQL, runs the query, and returns results with visualizations. Every answer shows the SQL generated and cites the data sources, so you can verify accuracy.
The Tech Stack
Why Claude over GPT?
Two reasons: tool use reliability and context window. Claude handles complex multi-step tool calls (query database, then analyze results, then generate visualization) more consistently than GPT-4 in our testing. The 200K context window also means we can include full database schemas in the prompt without truncation.
What I Learned Building This
1. Schema understanding is everything. The AI is only as good as its understanding of your data. We built a context layer that learns your business terminology over time. When your team says "MRR", the AI knows it means monthly recurring revenue from the subscriptions table.
2. Citations build trust. Nobody trusts a black-box AI answer for business decisions. Every Skopx answer shows the SQL query, the tables accessed, and the calculation performed. This was the single most requested feature in our beta.
3. Connected data beats uploaded data. ChatGPT can analyze a CSV you upload. But real business questions span multiple systems. "Why did revenue drop last week?" might need data from your database, Stripe, and Slack. We connect to 47+ tools so the AI can query across all of them.
Recently Added: AI Project Management
We recently built project management directly into the platform. The unique part: you can click any task and the AI pulls context from all your connected tools.
Ask "What's blocking this task?" and it checks your GitHub PRs, Jira tickets, and Slack conversations to give you a complete picture.
Try It
Skopx is live at skopx.com. The Team plan is $16/seat/month with a BYOK (Bring Your Own Key) model, so you use your own Anthropic API key for full cost transparency.
I'd love feedback from the Dev.to community, especially on:
- The conversational analytics UX
- The project management integration
- Any data sources you'd want connected
Check out the conversational analytics overview or the full guide on what conversational analytics is.