Unifying Inspiro’s Data To Drive AI-Powered Insights With Microsoft Fabric

Unifying Inspiro’s Data To Drive AI-Powered Insights With Microsoft Fabric

Industry

Business Process Outsourcing (BPO) | Customer Experience (CX)

Business Function

Human Resources & Workforce Management | Finance & Planning

Capability

Data Modernization & Engineering | Data Platform on Microsoft Fabric | AI-Enabled Insights & Self-Service BI | Governance & Compliance Automation

Tech Stack

Microsoft Fabric | OneLake | Power BI | Azure Data Factory / Fabric Data Factory | Azure SQL | MS Entra ID (RBAC) | Tiger Weave Accelerator

Key Highlights: What This Case Study Covers

  • Unified HR, talent acquisition, and finance data into a single, AI-ready enterprise data foundation.
  • Migrated from Azure Synapse to Microsoft Fabric with a medallion lakehouse architecture.
  • Automated end-to-end data pipelines and reporting workflows using Tiger Weave accelerator.
  • Reduced report generation time from 1–2 days to ~1 hour (95% faster)
  • Enabled self-service analytics with Power BI and Copilot, improving decision-making speed.
  • Activated AI-driven forecasting and alerting for workforce planning and financial insights.

Client Overview

Inspiro is a leading global customer experience outsourcing company headquartered in the Philippines, serving industries such as telecommunications, BFSI, healthcare, and e-commerce across more than 100 delivery centers worldwide.

The Ask

Inspiro aimed to transition from a fragmented, manual reporting environment to a unified, scalable, and AI-driven data platform. Their priority was to streamline analytics across HR, recruitment, and finance, reduce reporting delays, and enable predictive insights to support enterprise-wide workforce and financial planning.

Challenges

  • Reporting turnaround time of 1–2 days, slowing decisions.
  • Siloed HR, talent, and finance systems with inconsistent data flow.
  • Manual data processing creating data quality risks and governance gaps.
  • Lack of automation for alerts, insights, or historical analysis.
  • Rapid data growth of 213% YoY, straining existing architecture.
  • Limited self-service capability and dependency on IT for reporting.

Our Solution

Tiger Analytics partnered with Inspiro to implement a Microsoft Fabric-based enterprise data platform, consolidating cross-functional datasets into OneLake with a medallion architecture.

Key execution elements:

  • Built Fabric-native pipelines for HRMS, recruitment, and financial systems.
  • Established governance and RBAC using Entra ID and metadata-driven lineage.
  • Created Power BI semantic models to enable real-time workforce and financial dashboards.
  • Integrated Copilot for natural-language insights and Data Activator for automated alerts.
  • Leveraged Tiger Weave accelerator for reusable ingestion frameworks, governance, and audit controls, significantly reducing deployment time.

This approach delivered not just a migration, but a modern, scalable operating model for AI-enabled decision intelligence.

Impact Delivered

  • 95% faster reporting — turnaround reduced from 1–2 days to ~1 hour.
  • Improved governance with role-based access control & audit-ready lineage.
  • Automated workflows replaced manual reporting effort.
  • Self-service analytics enabled for HR and finance teams via Power BI + Copilot.
  • Enhanced decision speed and forecasting accuracy for resource planning & financial strategy.
  • Future-ready foundation for predictive workforce and real-time operational triggers.

Rethink Data Modernization as an Operating Model Shift

Leading a complex enterprise with rapidly growing data demands? Evaluate whether your current architecture can serve as the operating backbone for AI-driven decision-making, not just for today’s needs, but for the scale you’ll need for the future.

Mead Johnsons Download
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