Ask Better Questions: Using DataPeak Chat for Instant Insights
Why Chat Matters in No-Code AI Platforms
Data is only valuable if you can use it. In most organizations, working with datasets means writing SQL queries, relying on analysts, or waiting for static reports. That slows down decision-making.
The DataPeak Chat system changes that. Instead of technical coding, it allows users to query datasets, generate graphs, and surface insights, all through a simple chat interface powered by agentic AI.
In this walkthrough, we’ll explore the three main components of DataPeak Chat and how they help organizations in manufacturing, automotive, and the public sector turn questions into actionable intelligence.
Chat Sessions: Organizing Conversations with Your Data
The first component of DataPeak Chat is the Chat Sessions panel.
View and access previous sessions for continuity.
Start a new session while keeping old ones intact.
Remove outdated sessions with a single click.
Hide the session menu for a cleaner workspace.
For public sector teams, this means you can revisit sessions tied to specific projects or reporting periods. For manufacturers, you can reload past queries to track ongoing quality control or maintenance investigations.
Queries & Functions: Asking DataPeak for What You Need
The Queries & Functions panel is where the real work happens. Here, admins and sub-admins can:
Upload and manage files.
Add new datasets.
Access AI agents tied to specific workflows.
Query datasets with natural language.
Generate graphs for use in dashboards.
Run auto-analytics on datasets.
Ask for tutorials or quick explanations.
Instead of writing code, you simply ask:
“Who worked on Friday?”
“How many people were assigned to Line A?”
“Show me a summary of sales by region.”
The AI parses the query, retrieves data, and returns results instantly.
AI Responses: From Text to Tables and Graphs
The final component is the AI Responses window, where DataPeak delivers results.
Responses can appear as:
Text answers (quick summaries).
Tables (structured data views).
Auto-generated graphs (ready for dashboards).
This is where DataPeak shows its strength. Instead of just answering questions, it visualizes and contextualizes data in the format that’s most useful for the task at hand.
Advanced Graph Demo: Turning Queries Into Visuals
For deeper analysis, DataPeak supports advanced graph generation.
Select dataset fields from a visual table.
Configure parameters (e.g., bar, line, or scatter graphs).
Preview the graph before finalizing.
Title the graph and assign it to dashboards for specific users.
In automotive manufacturing, this could mean visualizing maintenance requests per machine. In the public sector, it might be budget allocations by department.
Auto Analysis Graph Demo: Quick Insights on Demand
Not every query requires a full setup. With auto-analysis graphs, DataPeak generates quick visuals in response to simple questions.
Example: “Show everyone who worked on Friday.”
Output: An auto-generated bar graph that can be saved or embedded into dashboards.
Other Features: Help & Tutorials
DataPeak Chat also comes with support features to help new users ramp up quickly:
Help tool: Submit questions, access FAQs, and contribute answers to help the wider user community.
Start Tutorial button: Guided walkthroughs for first-time users or training sessions.
Pro Tips: Getting the Most Out of DataPeak Chat
To maximize efficiency:
Save recurring sessions for projects you revisit often.
Combine queries and AI agents to chain insights into workflows.
Use auto-analysis graphs for quick monitoring between reports.
Promote graphs to dashboards when they become KPIs that everyone needs to see.
How DataPeak Chat Compares to Legacy Query Tools
Traditional query systems rely on SQL, technical analysts, or limited natural language interfaces. That means bottlenecks, delays, and gaps in adoption.
DataPeak Chat eliminates those barriers by:
Supporting no-code natural language queries.
Embedding results directly into dashboards and workflows.
Connecting queries to agentic AI agents for automation and scale.
This makes insights not only faster, but also actionable.
FAQ: DataPeak Chat
Q: Who can use DataPeak Chat?
A: Currently, only admins and sub-admins. This ensures queries are secure and tied to proper permissions.
Q: Do I need coding skills?
A: No. All queries can be asked in plain language.
Q: Can I generate graphs from chat?
A: Yes. Graphs can be created manually or auto-generated, then saved to dashboards.
Q: What industries benefit most from DataPeak Chat?
A: Manufacturing, automotive, food processing, and public sector teams — especially those managing complex workflows and datasets.
Chat That Turns Questions Into Action
The DataPeak Chat system goes beyond being a support feature. It’s a core part of how teams turn raw data into real-time decisions.
Whether you’re a plant manager running predictive analytics, a public sector leader monitoring resource allocation, or a team lead running quality checks, Chat makes insights accessible, actionable, and connected to workflows.
Ready to see DataPeak Chat in action? Watch the full demo or book a walkthrough to learn how no-code queries can power your next decision.
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