Client
The client is a leading global fast-moving consumer goods (FMCG) enterprise with operations spanning 130+ regions worldwide. The company focuses on driving innovation, operational efficiency, and digital transformation to strengthen its market position and deliver sustainable growth.
Market Trends Shaping the FMCG Finance Landscape
The global FMCG landscape continues to evolve rapidly as consumer expectations, market volatility, and operational pressures intensify. To stay competitive, enterprises are accelerating digital transformation, especially in finance, to improve agility, strengthen forecasting, and enable faster decision-making.
At the same time, many organizations are grappling with fragmented financial systems, legacy reporting tools, and inconsistent data standards across markets. These challenges are prompting a shift toward unified data platforms, automated financial workflows, and robust governance frameworks that ensure accuracy, transparency, and enterprise-wide alignment.
Against this backdrop, the client recognized the need to modernize its financial data foundation and adopt a more advanced financial data analytics platform. This could support its strategic vision, streamline operations, and unlock real-time, data-driven insights.
Business Challenges
Against this backdrop of rising data complexity and the growing need for faster management insights, the client faced several structural challenges within its finance ecosystem. Multiple legacy systems, inconsistent reporting processes, and manual interventions made it difficult to create a clear and unified view of performance across a broad global footprint.
These gaps affected both day-to-day operations and long-term planning. As the organization pushed to build a stronger, more focused challenger business, four issues became particularly pressing:
- Fragmented financial data across global markets, limiting consistency, accuracy, and the ability to make decisions based on a single, trusted source of truth.
- Limited visibility into near real-time performance, which slowed down strategic planning and made it harder for leadership to respond quickly to market shifts.
- High operational effort due to manual reporting and repetitive processes, reducing efficiency and creating delays in financial workflows.
- Gaps in data governance, controls, and compliance, increasing the risk of discrepancies and making it difficult to maintain secure, reliable financial operations at scale.
LTIMindtree Solution
To address these challenges and build a future-ready financial data foundation for management reporting, the client partnered with LTIMindtree to create a modern Financial Data Lake (FDL) on Azure Databricks for finance and Azure Cloud. The objective was to establish a unified ecosystem that enables standardized reporting, near real-time insights, and stronger governance across global markets.
The solution was centered around five key capabilities:
Unified Financial Data Ecosystem
- Centralized financial data from disparate legacy systems ensured a single source of truth.
- Harmonized reporting structures across markets provided greater consistency and accuracy.
- Integrated key financial systems (SAP, PR+, and Controller) streamlined data access across processes.
Actionable, Real-Time Insights
- Designed 10+ interactive dashboards (like Price Volume Mix, Market Size and Share, Sales Performance, Supply Chain Finance Overview) that provide stakeholders with an instant, consolidated view of performance across 250+ KPIs.
- Enabled leadership visibility into P&L, balance sheets, and market-level trends through connected reporting.
- Equipped 500+ users with self-service analytics to accelerate decision-making and reduce IT dependency.
Streamlined and Automated Processes
- Automated more than 360 legacy reports to reduce manual intervention and improve data reliability.
- Simplified financial workflows to shorten reporting cycles and improve operational agility.
- Established scalable automation pipelines to support end-to-end financial data processing.
Strengthened Data Governance and Compliance
- Implemented a comprehensive governance framework to ensure accuracy, security, and compliance across the ecosystem.
- Automated data quality checks to maintain integrity across large volumes of financial information.
- Enhanced access controls to secure sensitive data and meet compliance requirements.
Foundation for Future Scale
- Retired outdated reporting tools to lower complexity and maintenance overhead.
- Built a flexible cloud-native platform designed to support advanced analytics and AI-driven forecasting in subsequent phases. This strengthened the foundation for a more intelligent financial data analytics platform.
Tech Stack
Azure Databricks, Power BI
Business Benefits
The implementation of the FDL delivered measurable business impact across the client’s global operations:
LTIMindtree received recognition from the client for developing a breakthrough financial reporting solution that strengthened FP&A processes and improved decision-making across the organization.
Conclusion
The Financial Data Lake has done more than streamline reporting. It has reshaped the client’s financial backbone into a strategic enabler. By bringing together data, governance, and real-time insights into one unified ecosystem, the organization now operates with greater clarity, speed, and confidence. This foundation not only supports today’s decision-making needs but also creates space for what comes next: AI-infused forecasting, more predictive financial planning, and intelligent automation at scale.
As the client accelerates its digital and data ambitions, the FDL stands as a core engine of that future, turning complexity into control, effort into intelligence, and insight into long-term value
Looking to modernize your financial data platform? Connect with us at data.analytics@ltimindtree.com to explore scalable cloud solutions.
