How Simfoni Streamlined Spend Management
with Boomi Integration
About Our Client
Simfoni transforms how businesses manage spending with a compensable, on-demand spend management platform. Designed for Chief Procurement Officers (CPOs) and Chief Financial Officers (CFOs), the platform simplifies procurement by automating processes, streamlining operations, and enabling businesses to achieve rapid savings. Its AI-driven technology empowers organizations across various industries—including manufacturing, utilities, and technology—to gain better visibility and control over their spending while supporting supply chain sustainability goals.
Business Objective
Simfoni sought to improve spend analysis management by consolidating historical and current data from different sources into a single, enriched format. Their objective was to automate procurement processes and eliminate inefficiencies, gain insights into spending patterns through enriched data, and manage a high volume of transactional data. Also, they wanted to support their customers’ decisions backed by accurate and comprehensive data.
Industry
Technology
Platform
Boomi
Service
Integration
Challenges
Complex Data Consolidation
Handling large historical datasets with multiple objects required robust processing and lookups to enrich data effectively.
API Data Handling
Managing APIs with varying parameters, line breaks, and missing data made standard Boomi formats insufficient for output.
Transaction Grouping
Grouping transactions across multiple suppliers monthly and yearly became challenging due to onboarding/offboarding changes and large data volumes.
Supplier Data Accuracy
Ensuring enriched, consistent data on schedule across numerous suppliers demanded careful management to reduce manual intervention.
Solutions
Complex Data Consolidation and Enrichment
After understanding Simfoni’s data structure and processing needs, we developed a precise roadmap to ensure the smooth development of consolidated and enriched datasets. Implementing an advanced set of rules and multiple datasets ensured a unified dataset at various stages for more insightful spend analysis.
Handling Fragmented and Inconsistent API Data
We implemented advanced scripting techniques to restructure fragmented data into a clean and consistent format. These scripts allowed Simfoni to process API data efficiently and enhance data integrity.
Managing Transaction Grouping Amid Supplier Changes
We automated the transaction grouping process to ensure seamless transaction updates in alignment with supplier changes. By implementing a system that dynamically adjusted to supplier fluctuations, we improved the accuracy and efficiency of spend categorization to deliver more precise insights into Simfoni’s clients.
Ensuring Data Accuracy and Preventing Errors
To identify and correct discrepancies proactively, we implemented a robust error-handling system, and for smooth data consolidation, we introduced automated validation checks and structured error management. We implemented a robust error-handling system that proactively identified and corrected discrepancies. We ensured smooth data consolidation by introducing automated validation checks and structured error management. This approach helped Simfoni maintain data integrity and reliability, reducing the risk of inaccurate reporting.
Results
Automated Analysis
Automate and enhance spend analysis for better decision-making.
Data Consolidation
Consolidate large historical data volumes and real-time transaction data.
Error Elimination
Eliminating inconsistencies and errors by streamlining the API data processing.
Manual Effort Reduction
Reducing manual efforts with improved transaction grouping accuracy.
Technology Stack
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