Chapter 1. Setting the Stage
Developed an internal Talent Management dashboard designed to support employee placement decisions based on performance, role progression, and organizational needs. The system provides a centralized view of employee development data and helps streamline decision-making for workforce allocation.
Chapter 2. Carrying the Work
Responsibilities in this project included Developed dashboard interface with filtering, search, and reporting features, Implemented data visualization for employee distribution and placement suggestions, Worked on data mapping logic for employee placement across multiple organizational levels, Handled query integration and data transformation for dashboard display, Implemented export functionality for reporting and operational use, and Ensured data consistency between backend processing and frontend display.
Chapter 3. What Changed
The system improved visibility into employee development and placement readiness, enabling faster and more structured decision-making for talent allocation across branches and operational units.
Chapter 4. The Problem and the Response
Problem
Managing employee placement decisions across multiple branches required combining various data points such as performance, role progression, and organizational needs. Without a centralized system, this process was time-consuming and difficult to standardize.
Solution
This project introduced a structured dashboard that aggregates relevant employee data and applies mapping logic to generate placement suggestions, making the process more efficient and consistent.
Chapter 5. How It Was Built
The system includes rule-based mapping logic to determine placement recommendations. The logic considers multiple factors such as availability, hierarchy, and data constraints, ensuring that results remain consistent and aligned with operational requirements.
Implementation Flow: Data from several internal HR sources is consolidated first so the mapping service can work from one structured dataset. Rule-based logic evaluates availability, hierarchy, and operational constraints before generating placement recommendations. The processed result is shaped into dashboard-ready output with filtering, export, and review support for decision-making.
Implementation details included Implemented dynamic filtering (branch, date range, search), Handled data aggregation from structured HR datasets, Built mapping logic for placement recommendation, Integrated export functionality for reporting, and Worked with scheduled data updates to ensure data freshness.
Some implementation details have been simplified due to internal system constraints.
Chapter 6. Application Flow
Primary Flow: System aggregates employee and organizational data from multiple internal sources. Data is processed to identify eligible employees for role progression. Mapping logic determines potential placement based on availability and predefined rules. Results are displayed in the dashboard and can be filtered, reviewed, and exported.
