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Case Study

Power BI for HR Recruiting Process
Client Background

The client is played key role in making traffic safety. They aspired to develop on the inspiration attained from national road safety strategy, which aims to build capacity of the Traffic system in nationwide.


They offer you the best in traffic safety and integrated systems, such as intelligent transportation, traffic signals, parking management, security.


They have many projects which are handling by 5000 employees worldwide.


Our client used to follow a manual paperwork-based recruitment process. He had to manage a lot of data in excel sheets. The process was tedious and error prone.

On the top of that, they could not afford to spend time in manually analyzing the valuable information they captured.

As they assigned us the task move towards shifting to new technologies and automating the data capturing and analyzing process, they also wanted us to develop useful reports which would help them predict future trends.


The assessment covers a range of sub-skills essential for Power BI usage, including but not limited to data modeling, creating interactive dashboards, implementing data transformations, and generating meaningful insights from raw data.

By evaluating their proficiency in key sub-skills, the assessment aids in selecting individuals who can contribute to extracting insights from data, presenting them visually, and enhancing decision-making processes for business success.

By conducting a thorough needs assessment, organizations can make informed decisions about how to best leverage Power BI to streamline operations, improve productivity, and achieve their business goals effectively.

Solution Delivered

To keep the automation process in line with other tools used by the client, we suggested them to go with Power BI for reporting purpose. We developed several reports for them. The visuals used were eye catching.

The reports were easy enough to understand and even a lay man could grasp useful information by just a glance at a report.

The reports contained useful indicators like total recruitment over time and average CTC offered to & is expected by the candidates.


We also provided a separate report that allowed to compare candidates based on the aspects like salary, qualification, and experience. Drill down reports were included whenever required.

The client could now easily get to know top 10 sources of recruitment and top 10 reasons that made the candidates leave their previous company.

The same data helped them to modify their existing policies and reduce employee attrition rate. They could now forecast a lower limit of written test score for selecting candidates. Number of reports included trends built up from the information.

Trends like the salary expectations @ a certain experience level with a specific technical expertise helped then a lot in deciding the annual salary hike of their existing employees. Now they also have numbers of candidates who were expert in a specific technology.

And the list of benefits goes on. The client is more than satisfied with the ease of use and value of information they can capture using Power BI.

We tried to decipher the data and tried to come up with the ideas that will be helpful to the organization:

Information of the candidates that are applying/appearing/not appearing/selected/joined for the interview.

Information about the sources that has helped the candidates to apply for interview.

Information about last companies that the applied candidates were working at. 

Details of the candidates by their expertise when appeared in an interview. 

Which are the top 10 sources that candidates have found the organization? 

Which were the top 10 reasons for the candidates to leave their last company? 

Information about the hired candidates and their experience. 

Information about the scores by their quality and their experience. 

Information about the notice period by their experience.


Architecture Diagram-



Data Visualization: Power BI enables you to create compelling visualizations, charts, graphs, and dashboards from your data. These visuals are interactive and provide insights that are easy to understand, making it simpler to communicate complex information.

Data Connectivity: Power BI allows you to connect to a wide variety of data sources, including databases, cloud services, spreadsheets, and APIs. This flexibility enables you to bring together data from different sources for comprehensive analysis.

Real-Time Dashboards: With Power BI's real-time capabilities, you can create live dashboards that display data updates as they happen. This is especially valuable for tracking key performance indicators and making data-driven decisions in real time.

Data Transformation: Power Query, a component of Power BI, offers data transformation capabilities, allowing you to clean, reshape, and combine data from multiple sources before analysis. This helps ensure data accuracy and quality.

Natural Language Queries: Power BI supports natural language queries, allowing users to ask questions about their data using everyday language. This feature makes data exploration more intuitive and accessible to users who may not have technical expertise.

Data Modeling: The Power BI data modeling engine lets you create relationships between different data tables, define calculations, and create measures. This enables you to perform advanced calculations and build complex data models for in-depth analysis.

Collaboration and Sharing: Power BI facilitates collaboration by allowing users to share reports and dashboards with colleagues and stakeholders. Reports can be published to the Power BI service or embedded in other applications, promoting information sharing.

Mobile Accessibility: Power BI offers mobile apps for various platforms, allowing users to access reports and dashboards on smartphones and tablets. This ensures that decision-makers can stay informed even while on the go.

Security and Compliance: Power BI provides robust security features, including role-based access control, data encryption, and integration with Azure Active Directory. This helps ensure that data remains secure and compliant with organizational policies.

Scalability: Power BI is designed to handle large datasets and can scale to accommodate growing data needs. It can also integrate with other Microsoft services like Azure for enhanced scalability.

Cost-Effectiveness: Power BI offers various pricing tiers, including a free version with limited features. This makes it accessible to a wide range of users and organizations, including small businesses.

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