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Case study

Optimizing Workforce Data and Onboarding for a Global AI Engineering Leader5.0 rating5 Stars Rated On Clutch

Optimizing Workforce Data and Onboarding for a Global AI Engineering Leader

Industry

Technology & Software

Services Used

Azure Data Engineering, Business Intelligence (BI), Data Analytics, Data Warehousing, Digital Transformation, ETL, Power BI

Region

North America

Engagement Model

Staff/Resource Augmentation

Function/Department

Human Resources (HR), Operations Management

About Client

  • A global leader in AI-powered quality engineering solutions, helping brands transition from traditional testing to innovations like automation, AI, blockchain, and XR. 
  • The company aims to reduce business risks in digital adoption by offering omni-industry-friendly solutions in technology, finance, healthcare, and defense
  • With over 7k+ engineers and 400+ B2B, and B2C customers globally, they ensure end-to-end value, operating across regions like the US, UK, Germany, and Asia.

Problem STATEMENT

The company highlighted multiple challenges in its current recruitment workflow when we first sat together for a discussion. Here are the key issues we identified: 

Visualization Needs

The client required advanced data visualizations, more streamlined to say the least, to track and analyze HR data, including employee performance and hiring trends.

Onboarding Automation

We found the need to streamline the onboarding process to reduce manual work, improve efficiency, and enhance new employee integration.

Performance Issues with Large Datasets

Working with large datasets (10-15 GB), the client faced slow data processing and visualization. Optimization was needed to improve system performance and refresh rates.

Hiring Data Consolidation

The client’s hiring data came from multiple sources (LinkedIn, Naukri, SuccessFactors), requiring a consolidated approach to improve data analysis and management. 

Learning and Development (L&D) Tracking

The client came to us for a solution to effectively track employee participation, progress, and outcomes in L&D programs to align with organizational goals.

Solution

Our experts implemented a robust, streamlined workflow to address the company’s HR data management and analytics challenges. Here’s how our team of experts solved their issues:

Optimized Data Model

Reduced dataset size from 10-15 GB to under 1 GB by optimizing the data model, resulting in faster processing and visualizations in Power BI.

Data Consolidation for Hiring

Collected data from LinkedIn, Naukri, and SuccessFactors, and created an ETL pipeline with Azure Data Factory and Databricks, ensuring a single source of truth for hiring data.

Onboarding Automation

Developed a workflow with Power Automate to send automated emails and tasks to new hires, integrated with HR systems like ADP and Anaplan for smooth onboarding.

L&D Program Tracking

Created a Power BI dashboard to track course enrollments, completion rates, and skill improvements, sourced from SharePoint and processed through Power Query.

Technical Architecture

Data Sources:

  • Hiring Data: LinkedIn, Naukri, SuccessFactors, ADP, Anaplan
  • L&D Data: SharePoint and SuccessFactors (course details and completion tracking)
  • Performance & Attendance Data: Collected from internal HR systems and stored in Azure

Data Processing:

  • Power Query: Data cleansing and preparation (filtering unnecessary data)
  • Azure Data Factory (ADF): Automated data extraction from sources
  • Databricks: Used for complex transformations and optimizations, with Delta Tables for efficient querying and storage

Data Storage:

  • Data is stored in Azure Block Storage, managed using Databricks Catalog
  • Power BI datasets and dataflows are used for visualization, with Delta Tables ensuring fast data retrieval

Data Visualization:

  • Power BI: Used for advanced dashboards to track performance, attendance, hiring trends, and L&D success
  • Custom visuals to display workforce trends, distributions, and metrics for easy insights and reporting

Business Impact

Accurate Workforce Data

100% accurate tracking of employee headcount, gender, and diversity metrics.

Resignation Monitoring

90% real-time insights into active resignations, improving retention strategies.

Hiring Efficiency

85% improvement in tracking hiring demand, and optimizing resource allocation.

Optimized Recruitment Funnel

80% improvement in tracking candidate journeys, making recruitment more efficient.

Enhanced Recruitment Source Reporting

75% improvement in analyzing recruitment sources, leading to better sourcing strategies.

Increased Candidate Feedback Insights

70% more feedback was captured, improving the recruitment experience.

Enhanced L&D Tracking

95% clear tracking of course enrollments, 90% better reporting on ongoing training, and 85% improvement in understanding course impact.

Candidate Support System

90% functionality in the ticketing system, speeding up query resolution.

Seamless Onboarding Automation

100% automated email workflows, ensuring timely communication for new hires.

The system improved key HR functions by making workforce tracking accurate and resignation monitoring easier. Recruitment became faster, with better tracking of candidates and sourcing. Learning and development tracking got clearer, showing enrollment and course impact. The ticketing system solved queries faster, and onboarding automation ensured timely communication for new hires

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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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