Situation

Ludhiana Beverages Pvt. Ltd. (LBPL), a trusted Coca-Cola bottling partner for more than three decades, operates high-volume production plants and a wide distribution network across Punjab. With daily operations spanning manufacturing, inventory management, logistics, and market execution, LBPL generated a growing volume of data from a variety of systems.

However, this data lived in deep silos-spread across ERP platforms, production line equipment, warehouse systems, sales applications, and route-to-market tools. Each department relied on separate datasets stored in isolated databases or spreadsheets, creating disconnected pockets of information.

Because the systems could not communicate with each other, LBPL lacked a unified, organization-wide view of performance. Leadership teams struggled to access timely insights needed to make data-driven decisions, and analysts spent significant time manually stitching data together. The absence of integrated, cleansed data made it difficult to identify bottlenecks, optimize operations, or respond quickly to market changes.

LBPL recognized the need for a modern analytics foundation that would break down data silos, unify enterprise data, and deliver actionable insights across the entire value chain.

Challenges

Data locked in silos across departments

Production, sales, logistics, and finance systems all operated independently. Siloed data prevented the organization from understanding cross-functional performance and slowed decision-making.

Fragmented insights and lack of actionable intelligence

Without consolidated data, leaders could not connect upstream and downstream metrics—such as linking plant output to delivery timelines or sales demand.

Manual, time-consuming reporting processes

Analysts relied on spreadsheets and manual data pulls from different systems, creating delays, inaccuracies, and inconsistent reports across teams.

No real-time operational visibility

Siloed systems made it impossible to generate unified dashboards for production efficiency, sales trends, or route performance in real time.

Limited scalability and lack of governance

The existing environment did not support automation, lineage, quality checks, or more advanced analytics such as predictive modeling.

Solution

LBPL selected Microsoft Fabric to modernize its analytics environment and create a unified, governed data foundation across the enterprise. Fabric’s end-to-end capabilities-spanning data engineering, storage, warehousing, and analytics—enabled LBPL to consolidate data, standardize processes, and accelerate insight delivery.

Unified data architecture with OneLake

LBPL centralized all major data sources into OneLake, Fabric’s multi-cloud data lake, enabling a single data estate accessible across teams and workloads.

Enterprise Data Warehouse with Fabric

Using the Fabric Data Warehouse, LBPL built a central repository for production, sales, logistic, and finance data. This created a trusted data foundation with consistent KPIs and business definitions.

Medallion architecture for scalable data management

LBPL adopted Fabric’s medallion architecture, organizing data into Bronze (raw), Silver (cleaned), and Gold (business-ready) layers. This approach improved data quality, traceability, and governance while simplifying downstream analytics.

Data engineering with Fabric Pipelines and Notebooks

Using Data Factory pipelines, the team automated ingestion from ERP systems, production equipment data, and distribution logs. Fabric Notebooks were used to run complex transformations, validate data, and maintain processing logic at scale.

Governance built into the platform

Fabric’s integrated governance and security capabilities ensure that data access, lineage, and quality are maintained consistently across workloads.

Real-time analytics using Power BI

Business users now access dynamic Power BI dashboards built on Gold-layer datasets. Leaders across production, sales, and logistics can monitor KPIs such as:

• Production efficiency
• Sales growth by region
• Route performance and on-time delivery
• Inventory turnover and warehouse utilization

Benefits/Impacts

A single source of truth across the enterprise

By consolidating production, sales, logistics, and finance data into OneLake, LBPL now operates from a unified data foundation. Teams access consistent, trusted datasets, reducing discrepancies and enabling cross-functional alignment.

Faster and more confident decision-making

Leaders now receive real-time insights through Power BI, enabling them to spot trends, monitor operational performance, and act quickly. Whether reviewing plant throughput or delivery timelines, teams can make decisions with greater clarity and precision.

Reduced manual effort for analysts

Fabric Pipelines and Notebooks automate ingestion and transformation, significantly cutting down the hours previously spent gathering data from spreadsheets and disparate systems. Analysts can now focus on forward-looking analysis instead of manual preparation.

Improved data quality and reliability

Using Fabric’s medallion architecture, LBPL ensures that data is cleansed, enriched, and validated before reaching business users. The result is higher-quality insights and greater confidence in enterprise reporting.

Scalable platform for future analytics and AI

With Microsoft Fabric, LBPL has a modern, cloud-based environment ready to support forecasting, predictive insights, and advanced optimization scenarios. The platform can easily scale as the business grows.

Outcomes (KPIs)

Centralized and governed data estate

All major operational and business systems—from production to distribution—now feed into a unified Fabric environment, replacing previously siloed processes.

Reduction in manual reporting time

Automated pipelines and standardized transformations reduce the time analysts spend on data preparation, improving overall productivity.

Near real-time visibility across operations

Power BI dashboards refresh automatically, offering timely insight into key metrics such as production efficiency, inventory levels, and sales performance.

Standardized KPIs across the business

With consistent models and definitions in the Fabric Data Warehouse, teams now rely on the same metrics and benchmarks for decision-making.

Improved operational alignment

Unified insights help production, sales, and logistics leaders work from the same data, improving coordination and responsiveness across the value chain.

Future-ready analytics capability

LBPL’s Fabric environment lays the foundation for adopting AI and predictive analytics to further enhance operational planning and performance.