The client highlighted ongoing difficulties in processing and converting large volumes of unstructured data, making it nearly impossible to extract meaningful insights that were critical for business decisions.
Manual data handling had become a major bottleneck, consuming excessive time and leading to frequent errors, which were slowing down workflows and hindering scalability
In the meetings, it became clear that managing invoice and card-related data was inefficient without a centralized dashboard, leaving the client with disjointed reporting and a lack of cohesive analysis.
The client raised concerns about not being able to track data in real-time, which was delaying important decision-making and impacting their ability to act swiftly on emerging trends.
They also questioned the reliability of their current systems, as the lack of automation and integration was causing frequent delays and limiting their ability to make timely, data-backed decisions.
Our solution focused on building an integrated architecture that would not only enhance data processing but also ensure scalability and real-time insights.
Centralized Power BI Dashboard: Our developers created a custom Power BI dashboard to centralize invoice and card volumetric data. This dashboard provided dynamic, interactive charts and filters, giving the client an easy-to-navigate tool for analyzing various data points.
Performance Optimization: To ensure the system could handle large datasets, we optimized data processing workflows. We automated the ingestion, transformation, and visualization of data to improve both performance and scalability, reducing the manual workload.
Data Integration: We ensured that the Power BI dashboard would be continuously updated with the latest data from the Azure SQL Database through scheduled refreshes, providing the client with timely insights for faster decisions.
Improved System Reliability: By automating the entire data pipeline and visualization process, we drastically reduced the client’s dependency on manual interventions, improving the overall reliability of their system.
Integration with Azure SQL Database ensured near-instant access to data, cutting down retrieval time from 30 minutes to under 10 minutes, allowing for quicker decision-making across stakeholders.
All invoice and card data is now visualized in a centralized dashboard(with better readability), cutting reporting time from 2 days to just a few hours due to dynamic, user-friendly visualizations.
The new dashboard design led to a 90% increase in user satisfaction, with users praising its intuitive layout and time-saving features, reducing reporting-related queries by ½.
Financial Services & Banking
Europe
Managed Analytics
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