Q&A with a dashboard
Users will simply express their data needs in plain, natural language – whether through typing, speaking, or even with contextual shortcuts. Next, AI-powered systems will understand and deliver relevant insights.
Rather than navigating through menus and filters, users might ask “Show me sales trends in Europe for Q2” or “What’s causing the spike in customer complaints?” The system will not only respond with relevant data but proactively suggest related insights and next-best actions.
Here’s another example in the context of HR analytics and a skill gap analysis:
- User input (prompt):
“Which skills are most lacking in our marketing team compared to industry benchmarks?” - AI response (dashboard update):
The dashboard updates with a heatmap showing skill gaps, highlighting areas like “SEO Strategy” and “Data Analysis.”
The AI might also say: “The marketing team is below the industry benchmark in SEO Strategy (20% gap) and Data Analysis (15% gap). These gaps are critical for achieving competitive performance.” - Follow-up (prompt):
“How does this compare to last year?” - AI response:
A comparison chart appears, showing slight improvements in “Social Media Marketing” but stagnation in “SEO Strategy.”
The AI adds: “Compared to last year, the gap in Social Media Marketing has reduced by 10%, but SEO Strategy remains unchanged.” - Next steps (prompt):
“What training programs could address these gaps?” - AI suggestion:
“Based on current skill gaps, I recommend a ‘Certified SEO Specialist’ training program for 5 team members. Would you like me to provide cost and schedule options?”
Context is key
This conversational analytics approach is enhanced by context-awareness, where the system understands the user’s role, previous queries, and current business context to provide more relevant and personalized responses.
Hands-free experience
Voice activation adds another layer of accessibility, allowing users to query their dashboards hands-free, while AI-powered suggestions anticipate user needs and recommend relevant analyses. Think of it as having a knowledgeable business analyst available 24/7, but one that instantly understands your company’s entire data landscape and your personal preferences for consuming information.
Data analysis for everyone
This shift to prompts as interface represents a fundamental democratization of data analysis, making complex business intelligence accessible to users regardless of their technical expertise. It’s not just about making dashboards easier to use – it’s about transforming how we interact with business data entirely.
The shift from passive to proactive analytics fundamentally changes how organizations derive value from their data, making sophisticated analysis accessible to everyone while ensuring important insights don’t get missed in the growing sea of available data.
Build your data-driven future
To fully harness this potential, organizations need a robust data foundation that centralizes and streamlines their data sources. That way, all business-critical data is clean, consistent, and accessible, acting as the backbone for these next-generation analytics tools.
Xylos’ Data Foundation and Dashboarding approach empowers organizations to build this foundation, offering tailored solutions that seamlessly integrate existing systems with modern AI capabilities. This ensures users not only gain immediate access to relevant insights, but also benefit from a strategic, future-proof analytics infrastructure that grows with their needs.
Get in touch to start your data journey.
