A tailor-made analytics tool that represents each department structure as a graph network where each employee is a node. The system visualizes relations between nodes i.e. workers, their levels, and departments using different calculation algorithms.
Graph formation is based on filtering by branches, buildings, floors, departments, projects, employees, and network roles.
The web application features are:
- Data merging processor that analyzes data from different sources.
- Degree centrality and other indicator calculations.
- Network visualization with filtering and indicator recalculation.
The solution also provides value system headcount by title providing total numbers of nodes, their groups (divisions/projects), relations, and sent emails as well as by department clarifying related node colors and representing their respective size in a diagram.
Enterprise Staff Analyser
About Project
NASJ is a custom web analytics system created as a proof-of-concept (POC) for a large company in Saudi Arabia that investigates and analyzes departments' structuring.
The application is developed using special technologies that are used to create Big Data Graphs on the web: WebGL, Network X, and D3.js libraries.
The application is developed using special technologies that are used to create Big Data Graphs on the web: WebGL, Network X, and D3.js libraries.
Client's goal
The main client idea was to improve business operational efficiency by optimizing department formation and structural division.
Another important goal was simplifying management processes for the human resource departments in the company's structure.
Another important goal was simplifying management processes for the human resource departments in the company's structure.
About Project
NASJ is a custom web analytics system created as a proof-of-concept (POC) for a large company in Saudi Arabia that investigates and analyzes departments' structuring.
The application is developed using special technologies that are used to create Big Data Graphs on the web: WebGL, Network X, and D3.js libraries.
The application is developed using special technologies that are used to create Big Data Graphs on the web: WebGL, Network X, and D3.js libraries.
Client's goal
The main client idea was to improve business operational efficiency by optimizing department formation and structural division.
Another important goal was simplifying management processes for the human resource departments in the company's structure.
Another important goal was simplifying management processes for the human resource departments in the company's structure.
Product
Result
The developed custom web solution allowed improving each department's performance thanks to the optimization of their structure and interaction with other company units.
The application helped the company to simplify HR management processes in the company's structure due to the visualization of a huge amount of data.
The application helped the company to simplify HR management processes in the company's structure due to the visualization of a huge amount of data.
Just take a look
The project is under NDA, so all the demonstrated materials are as close as possible, but do not repeat the original.
Desktop
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