About the Customer

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A multinational retail enterprise operating in more than 10 countries serves millions of customers across physical stores, e-commerce, and mobile platforms. Handling vast transactional, inventory, and customer data across EMEA, the Americas, and Asia-Pacific, the company competes in a market where real-time insights directly influence profitability.

With thousands of SKUs and complex supply chains, rapid response to market trends and campaign performance became essential. Despite advanced BI tools, manual data handling slowed decisions and strained analytics teams.

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Customer Challenge

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By 2024, the enterprise faced increasing complexity in consolidating and interpreting its data. Fragmented systems across PostgreSQL, MySQL, and BigQuery led to reporting delays and inconsistent insights.
Executives waited days for performance metrics, while data analysts were overburdened with repetitive requests.

Key pain points included:

• Fragmented data sources with no unified view
• Heavy manual query dependence
• Lack of real-time, self-service access
• 3–5-day turnaround for key reports
• Outdated dashboards and scalability limits

A costly stock imbalance incident ($120K loss) highlighted the urgency for automated, real-time intelligence.

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The Solution: Pedigraph Data Intelligence Platform

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In 2025, the organization partnered with Pedigraph to unify all major data systems into one conversational data layer.

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Unified Data Architecture
Pedigraph connected PostgreSQL, MySQL, and BigQuery directly through secure, role-based access, eliminating redundant ETL processes and data silos.

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Conversational Analytics Engine
Using natural language queries, users could ask questions like “What were our top-selling products in EMEA last quarter?” and receive instant visual insights—no SQL required.

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Automated Reporting & Dashboards
Pedigraph introduced automated scheduling and delivery of departmental reports through email and Slack. Executives gained real-time dashboards for performance visibility and exportable analytics in PDF, CSV, and Excel.

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Security and Governance
Fine-grained access controls ensured compliance while enabling broad data democratization. Every query was logged for transparency and audit readiness.

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AI-Driven Learning Layer
The system continuously improved accuracy, recognizing user intent, common queries, and surfacing proactive insights.

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Key Capabilities

• Natural Language Querying
• Multi-Database Connectivity
• Automated Reporting
• Role-Based Access and Governance
• Real-Time Dashboards
• AI-Driven Optimization
• Export and API Integration
• Compliance Logging

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Results and Benefits

Pedigraph transformed the enterprise’s analytics ecosystem, driving measurable results:

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Operational Efficiency

• 72% faster decision turnaround (from days to hours)
• 68% reduction in analyst workload
• Unified access to all enterprise data
• Elimination of reporting silos

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Performance & Adoption

• Sub-second query response time
• 95% accuracy in query interpretation
• 10× increase in user data engagement
• 95% departmental adoption within 60 days

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Business Outcomes

• $480K annual savings from automation and license reduction
• 2× faster marketing optimization cycles
• Zero stock-related losses due to real-time visibility
• 3× higher meeting productivity

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Lessons Learned

• Early integration testing prevents schema issues.
• Query caching reduces compute costs.
• Finely tuned permission models are critical for trust.
• Real departmental use cases accelerate adoption.
• Data champions and internal advocates sustain change.

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About Pedigraph

Pedigraph is a conversational data intelligence platform that transforms enterprise decision-making. By combining natural language processing, AI, and secure data connectivity, Pedigraph empowers every business user to extract insights instantly—without technical complexity.

The platform enables global organizations to scale analytics, accelerate decision cycles, and foster a data-driven culture built for the modern enterprise.

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