Nestle, a global leader in the food and beverage industry, partnered with HCLTech to establish a comprehensive enterprise-wide data governance framework. Leveraging Microsoft's cloud analytics services including Azure Data Factory, Azure Synapse Analytics, and Power BI, HCLTech transformed Nestle's fragmented data ecosystem into a unified, insight-ready architecture that drives innovation and operational efficiency across the organization.

The Challenge:

With decentralized data practices across a vast international footprint, Nestle faced significant challenges. Its siloed data sources spanning SAP BW, Snowflake and Azure created confusion, duplication and inconsistent data quality that hindered decision-making. The organization struggled with limited data discoverability, lack of unified governance standards and low data literacy across global teams. These issues resulted in compliance risks, inefficiencies and reduced trust in analytics — ultimately slowing business innovation and productivity.

The Objective:

As part of Nestle's broader data and AI transformation vision, the project aimed to establish mature, enterprise-wide data governance that would improve data quality, ensure regulatory compliance and empower teams with accessible, trusted data products. To do this and enable smarter, faster decision-making across all business units, Nestle needed to align data strategy across functions, improve data literacy and enforce consistent governance standards globally.

The Solution:

HCLTech implemented a strategic data governance initiative powered by Microsoft's analytics ecosystem. The solution utilized Azure Data Factory for data integration, Azure Synapse Analytics for data processing, and Power BI for real-time dashboards and reporting. The approach featured:

• A governance-aligned framework with metadata enrichment and data quality controls
• Operationalized data factory for streamlined discovery, onboarding and curation
• FAIR-compliant architecture to ensure findable, accessible, interoperable, and reusable data across the enterprise
• Training and mentoring to embed data stewardship practices and drive self-service adoption 

The Impact:

The implementation of a unified data governance program delivered tangible business outcomes, including but not limited to:

• 70-80% improvement in data quality with significant reduction in anomalies across data sources
• 80%+ curation rate on key platforms like SAP BW and Snowflake, dramatically improving data discoverability and reuse
• Streamlined data onboarding processes
• Accelerated time-to-insight through standardized quality checks
• Consistent governance practices across all business units and geographies, enabling faster, insight-driven decisions enterprise-wide

Mosaic, the world's leading integrated producer of concentrated phosphates and potash for fertilizers, partnered with HCLTech to transform its legacy analytics system into a modern, cloud-native data platform. Following transition of Mosaic’s ERP ecosystem through the Global Digital Acceleration program, HCLTech leveraged a suite of Microsoft applications to enable real-time analytics across mining operations, supply chain and financial data.

The Challenge:

Mosaic’s mining and production facility ecosystem stretches across multiple countries and three main verticals: operations and mining, corporate and regional services, and global strategic marketing and supply chains. This ecosystem generates a vast amount of data. However, like many large-scale organizations, its legacy analytics system struggled to leverage all the data collected to extract meaningful insights and analytics.

Mosaic's recent ERP ecosystem transformation through SAP S/4 and other SaaS services brought major changes to data management across finance, corporate, supply chain and logistics functions. The company needed to integrate data from S/4 and other sources like O9 and make it readily available for analysis — so that teams could better manage third-party contractors and vendors, analyze P&L data and overall sales and Treasury financial data from B2B and B2C operations primarily in North and Latin America, as well as predict prices for MAP and MOP (key ingredients for fertilizer manufacturing).

The Objective:

As part of its continuously growing Mosaic Information Center (MIC) program, Mosaic sought to establish a centralized data hub utilizing modern data architecture and cloud technologies. Building on its complete Azure infrastructure investment, the company aimed to leverage Microsoft's native data services including Synapse, Power BI, Data Lake and AI services to enable seamless transition to modern data architecture while supporting continuous growth requirements without changing its native landscape.

The Solution:

HCLTech implemented a comprehensive data platform utilizing Azure Synapse Analytics for pipeline, Spark and SQL development capabilities to process structured and semi-structured data including S/4 data, databases, files, JSON and XML formats. The solution incorporated Azure Data Lake as primary storage, Power BI for visualization and analytics, and Logic Apps with Azure Key Vault for secure data integration. This architecture enabled seamless data flow from multiple sources into the centralized MIC for enterprise-wide analytics.

The Impact:

The MIC transformation established Mosaic as a modern, data-driven organization with centralized analytics capabilities across all business verticals.

• Enabled comprehensive analysis of financial data, supply chain logistics and pricing predictions for critical fertilizer ingredients
• Achieved seamless integration of diverse data sources
• Enhanced decision-making capabilities
• Helped to save~$5 million USD annually through enhanced vendor and contract management
• Cut 40% in overall time required for performing financial reconciliations for sales, contracts and Treasury

WaterNSW, New South Wales’s state-owned water corporation managing 41 major dams and the southern hemisphere’s largest monitoring network, partnered with HCLTech to transform its field operations from paper-based processes to a cutting-edge digital mobility solution using Microsoft Azure and iOS technology.

The Challenge:

Due to its outdated paper-based systems, WaterNSW faced critical operational inefficiencies managing water resources across NSW. Manual processes created delays in work order completion, hindered real-time monitoring of water quality and compromised compliance tracking across WaterNSW’s extensive network of dams and waterways. This was particularly challenging given its responsibility to supply two-thirds of NSW's water to communities, agriculture and industry — where data accuracy and timely reporting are essential for public safety and regulatory compliance.

The Objective:

WaterNSW sought to modernize its field operations through advanced mobility solutions. The goal: create a seamless digital ecosystem to enable real-time data capture, streamline work order management and integrate with WaterNSW’s existing EAMS system — while ensuring reliable offline functionality for remote field operations across NSW's diverse geographic regions.

The Solution:

HCLTech developed a comprehensive Field Service Mobility solution on Microsoft Azure, deployed on iOS using iPads with online and offline capabilities. It synchronized over 50,000 assets and 550+ checklists, enabling near real-time integration with the EAMS system. Key features included:

• Dynamic inspection templates for water readings and quality data
• Intelligent work order scheduling based on team structures
• Comprehensive audit tracking with photo attachments.

The solution's responsible AI framework ensured data privacy and security while providing seamless offline-to-online synchronization for uninterrupted field operations.

The Impact:

The digital transformation delivered exceptional results, establishing WaterNSW as a leader in water management technology. Not only did it enhance service delivery to NSW’s communities and position WaterNSW for sustainable water resource management in the digital age; it also achieved:

• Enhanced efficiency: Improved operational efficiency across 240+ field technicians
• Up-to-date data capture: Near real-time data synchronization with EAMS for work orders, requests, checklists and photos — while enabling efficient work order scheduling and approval workflows
• Complete compliance: Compliance requirements were fully met through comprehensive audit tracking and photo documentation
• Optimized reporting: The Azure Data Lake-powered water quality reporting dashboard provided real-time insights for decision-making