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Case study

HR Analytics for Large-Scale Workforce Planning in Hydrocarbon Engineering5.0 rating5 Stars Rated On Clutch

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Better data visibility
Lnt

Industry

Manufacturing & Industrial Engineering

Services Used

Business Intelligence (BI), Data Analytics, ETL, Power BI

Region

India

Engagement Model

End to End Project Lifecycle Management

Function/Department

Human Resources (HR), Strategy and Planning

About Client

  • A global engineering company based in India, specializing in complex offshore and onshore hydrocarbon projects. 
  • Their offerings in engineering, procurement, fabrication, construction, and project management provide integrated ‘design-to-build’ solutions for complex surface and subsea hydrocarbon projects.
  • As a subsidiary of an 80-plus-year-old, $20-plus-billion conglomerate, the company benefits from its parent company’s expertise in sectors like hydrocarbons, infrastructure, construction, defense, IT, and power.

Problem STATEMENT

When sat for the first round of discussion, the client highlighted their struggles with data silos and HR team management. Key issues identified in the workflow were: 

Streamlining Workforce Data into a Unified Platform

The client’s workforce data was fragmented across multiple systems, making it difficult to consolidate and analyze trends. This lack of a unified platform hindered leadership and HR teams from gaining actionable insights into workforce distribution and demographic dynamics.

Enhancing Diversity and Inclusion Analytics

Tracking diversity metrics was the major challenge, which hindered their ability to assess representation gaps and launch targeted initiatives for fostering inclusivity.

Empowering HR with Predictive Analytics

Without predictive tools, the HR team struggled to proactively identify attrition risks and workforce trends, limiting their ability to implement effective employee engagement and retention strategies.

Fostering Organizational Transparency through Workforce Insights

The absence of a centralized view of workforce data led to a lack of transparency, affecting trust, collaboration, and informed workforce planning.

Tracking Demographic Shifts for Proactive Workforce Planning

The organization lacked the tools to monitor demographic changes in real-time, leading to reactive planning that delayed responses to workforce challenges.

Solution

Our team collaborated closely with the client to design and implement tailored solutions to address their challenges:

  • Centralized Data Integration
    We brought all workforce data from different systems into one unified platform. This eliminated data silos and ensured consistency, making analysis and reporting seamless.
  • Diversity and Inclusion Tracking
    We created tools to track diversity metrics like gender, age, and ethnicity. These insights helped the client pinpoint representation gaps and launch targeted initiatives to foster a more inclusive workplace.
  • Predictive Talent Management
    Using predictive analytics, we enabled the HR team to forecast trends in hiring, promotions, and attrition risks. This allowed them to proactively plan engagement and retention strategies, ensuring a steady talent pipeline.
  • Real-Time Demographic Monitoring
    With Power BI dashboards, we provided real-time insights into workforce composition and demographic changes. This enabled the client to act quickly on issues like skill shortages and workforce shifts.
  • Clear Workforce Insights
    We delivered user-friendly Power BI dashboards showcasing workforce distribution, engagement trends, and demographic metrics. These tools enhanced transparency and encouraged collaboration among stakeholders.
  • Strategic Workforce Planning
    We worked alongside the client’s leadership and HR teams to align workforce strategies with long-term goals. This included optimizing hiring practices and team structures to prepare for future challenges.

Technical Implementation

  • Data Preparation
    We extracted and cleaned workforce data from multiple sources, including Excel, ensuring it was ready for analysis.
  • Building Data Models
    Using Power BI, we set up relationships between datasets, calculated key metrics, and created a reliable data flow for accurate insights.
  • Designing Dashboards
    Interactive dashboards were built in Power BI to display diversity metrics, hiring trends, workforce distribution, and demographic changes in a clear and actionable format.
  • Report Automation
    We configured Power BI to automatically generate Word reports with visuals, simplifying the review process for stakeholders.
  • Automated Updates
    Scheduled data refreshes ensured that dashboards and reports always reflected the latest workforce data, supporting real-time decision-making.

Technical Architecture

L&T hydrocarbon

Business Impact

  • Better Workforce Visibility
    Centralized data boosted data accessibility by 90%, giving leaders a clear and comprehensive view of workforce trends and distribution.
  • Stronger Diversity Programs
    The tools we introduced for diversity tracking led to a 30% increase in inclusivity-focused initiatives within just six months.
  • Reduced Turnover
    Predictive analytics helped the HR team identify and address attrition risks, reducing employee turnover by 25%.
  • Faster Workforce Planning
    Dashboards that tracked demographic changes improved response times to workforce shifts by 40%, ensuring timely action.
  • Improved Transparency
    Clear, interactive dashboards increased stakeholder engagement by 50%, fostering trust and collaboration.

Our solution turned the client’s HR function into a streamlined, data-driven operation. By unifying workforce data and leveraging predictive analytics, the client gained real-time visibility into workforce dynamics, improved inclusivity, and strengthened their talent management. These advancements enhanced employee engagement and set the organization up for sustainable success.

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Frequently Asked Questions(FAQs)

How do I know if a solution like this is right for my business?

A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.

DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.

Can DataToBiz customize the solution for my industry and current data setup?

Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.

Which tools, platforms, and data sources does DataToBiz work with?

DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.

If your stack includes a tool not listed here, the team can assess compatibility during discovery.

How long does a project like this take with DataToBiz?

Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.

How does DataToBiz keep my data secure and compliant during the entire engagement?

Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.

What support and results can I expect after the solution goes live?

The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.

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