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Hungária Malomudvar, 1095 Budapest, Soroksári út 48. 8. épület 2. emelet
For Vodafone, a global telecommunications leader, we engineered a sophisticated custom component that dramatically simplifies and optimizes complex data query operations. The client faced significant technical constraints with their enterprise data architecture, as they were unable to modify the existing database schema or add new data tables to accommodate evolving business requirements. Additionally, their legacy system lacked the capability to define advanced relational conditions in queries, particularly regarding how disparate data sets should be dynamically paired, joined, or filtered to extract meaningful business intelligence.
The cornerstone of our solution was architecting an advanced recursive query system and developing a proprietary query execution component tailored to Vodafone's specific requirements. Our team of senior software engineers successfully addressed this technically challenging task by designing a sophisticated custom component that efficiently handles complex data relationships. We implemented the solution using modern Angular framework for the frontend, creating an intuitive, user-friendly interface that empowers business users to construct complex queries without requiring specialized technical knowledge.
With our sophisticated query solution in place, Vodafone's business teams can now seamlessly access and analyze previously siloed data sets, particularly critical for their customer survey campaigns and market research initiatives. As a direct result of our implementation, Vodafone's marketing and analytics staff can rapidly generate comprehensive statistics and interactive visualizations without requiring technical assistance, enabling data-driven insights that significantly enhance strategic decision-making processes and reduce time-to-market for new campaigns.
Contact us with your custom development needs!
R-Szoft's expert team has high-level frontend development capabilities. During the Vodafone project, we demonstrated that we are capable of developing complex, custom components that significantly increase the efficiency of data processing and analysis.
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