Streamlined decision-making
Optimized resource allocation
Improved operational efficiency
Increased profitability
The challenge
Simplifying data collection
A global Consumer Packaged Goods (CPG) firm sought to revolutionize its working capital reporting process. The digital finance team aimed to leverage its in-house ATLAS data, streamline operations, and improve reporting efficiency. Implementing an Azure Data Lake and Business Intelligence (BI) transformation aimed to simplify data collection, reporting, and reconciliation tasks.
Key challenges
Delayed decision-making due to inefficiency
Fragmented ATLAS data hindered insights
Manual reconciliation caused delays
System couldn’t scale with growth
The solution
Efficient monitoring and scalable data architecture
Performance and dashboarding
Identified key performance drivers
Developed role-based dashboards
Designed intuitive reports
Data and cloud integration
Mapped KPIs to SAP and Hydrate
Designed cloud-ready data models
Built logic in Azure Databricks
Implementation approach
1
Process and data mapping
Validated KPIs data
Structured aggregation
Identified key drivers
2
Dashboard and access control
Built role-based dashboards
Refined for user experience
Integrated with SAP & Hydrate
3
Cloud and optimization
Built logic in Databricks
Optimized data models
Deployed scalable architecture
The impact
Unlocking value through insights
Stronger cash flow
Improved liquidity
Optimized capital use
Enhanced stability
Better payment terms
Uncovered negotiation levers
Improved agreements
Increased flexibility
Smarter insights
Revealed hidden opportunities
Enabled proactive decisions
Boosted efficiency
Looking ahead
Continuous optimization
Enhance data models for deeper insights
Scalable growth
Expand solutions across more business areas
Strategic innovation
Leverage AI for smarter decision-making
