From natural language to insights using network diagrams
The Nakisa Decision Intelligence Platform allows users to ask questions in everyday language, such as:
Which skill categories are most required across departments?
Within seconds, multiple AI agents collaborate:
- The Planning & Orchestration Agent interprets the user’s intent.
- The Structured Data Retrieval Agent identifies relationships across the data model.
- The Graph / Charting Agent constructs a dynamic network diagram that makes complex relationships instantly clear.
What once required hours of SQL scripting and BI modeling now happens in real time, conversationally.
The network diagram above illustrates how different skill categories are distributed and interconnected across various departments within the organization. Each node represents either a department or a skill category, while the connecting lines (edges) show how many job roles in each department require that skill.
Thicker lines indicate a stronger dependency, meaning more roles within that department rely on that particular skill set.
We can go one step further and ask the system how the relevant tables and relationships are connected
How are the entities interconnected across this data model?
The diagram above represents part of the data model that was selected by AI to answer the question. It visualizes how key entities such as employees, jobs, skills, and departments are interconnected to form a unified view of organizational capability.
Revealing connections across the workforce
Below are selected examples from the Strategic Workforce Planning dataset illustrating how the platform translates analytical questions into intuitive visual networks and natural language insights.
Which skill categories are most commonly required across job families, and how many job roles depend on each skill?
Answer: Here’s a network visualization showing how skill categories connect to job families based on the number of job roles, depending on each skill. Larger edges indicate more roles requiring that skill within a family.
Notable insights include:
- DevOps skills dominate in Engineering.
- Marketing skills are central to Marketing.
- Operations skills anchor Operations & Logistics.
Show me how SQL and Data Visualization skills are connected to jobs.
Answer: This network chart demonstrates how SQL and Data Visualization skills interlink with multiple job roles. Each edge represents a job where that skill is required.
Insights include:
- Data Scientist, FP&A Analyst, Research Scientist (Applied) and HRIS Analyst roles rely on both SQL and visualization skills.
How are departments and job families connected based on the number of employees? Show top connections
This network diagram highlights the strongest connections between major departments and job families, based on the number of employees they share.
The visualization reveals not only the structural relationships across the workforce but also a few data quality issues worth noting. For instance, Applied Research appears highly connected to both Sales and Operations, an unusual pattern that could indicate role misclassifications or inconsistent job-family tagging within the dataset.
By exposing both organizational linkages and data integrity gaps, this visualization demonstrates how the Decision Intelligence Platform helps users not only understand workforce dynamics but also identify opportunities to improve data accuracy and governance.
How do departments’ average risk-of-loss scores evolve over time, and which show upward or downward trends?
This network diagram visualizes how the average risk-of-loss scores of departments have evolved, highlighting which areas show upward or downward trends over time.
On the left, departments such as Security, Cloud Engineering, Digital Marketing, and Applied AI are linked to upward trends, indicating an increasing risk of employee loss, often signaling retention or engagement challenges. On the right, departments like Data Analytics, Quality Assurance, and Product Design exhibit downward trends, suggesting improved stability or reduced attrition risk.
Why network diagrams are important for workforce analytics
Network visualizations do more than connect data points; they expose relationships that would otherwise remain hidden.
Key benefits include:
- Discovering cross-functional dependencies between roles and skills.
- Identifying capability clusters and workforce strengths.
- Quantifying proficiency gaps relative to job needs.
- Tracking risk and performance patterns over time.
In workforce strategy, this means turning static reports into living maps that reveal where to invest in training, recruitment, or retention.
Decision intelligence: future of organizational insight
Nakisa Decision Intelligence Platform transforms data interaction into a conversation, not a query. What once required multiple tools, data scientists, and weeks of analysis can now be achieved instantly, with explainable reasoning and visual clarity.
By combining natural language understanding with intelligent visualization, it empowers HR, Finance, and Strategy leaders to:
- Explore workforce structures interactively.
- Understand the why behind performance and risk patterns.
- Make faster, data-driven, and human-centered decisions.
Network diagrams are more than visuals; they are decision frameworks, connecting insights across people, performance, and potential.
Final thoughts
The power of Decision Intelligence lies in its ability to connect, not just data, but meaning. By merging network science, AI reasoning, and workforce analytics, organizations can uncover the hidden structure of talent, anticipate risks, and shape more versatile, capable, and resilient workforces.
With Decision Intelligence, data isn’t just analyzed, it’s understood.
You can request a demo of NDI here, or reach out to your dedicated Client Success Manager to access the preview environment. Connect with me on LinkedIn for the latest updates!
