DigiPrima Technologies partnered with a leading company in the industrial instrumentation and automation sector, specializing in innovative measurement and control solutions. The objective was to transform the client's data architecture, enabling seamless integration of internal and external data, and improving reporting accuracy.
DigiPrima designed and implemented a scalable Enterprise Data Warehouse (EDW) solution using advanced cloud and business intelligence technologies like Azure Data Factory, SQL Server, and Microsoft Power BI. This centralized data architecture enhanced the client's business intelligence capabilities, improved system performance, and provided real-time, data-driven insights.
Data Fragmentation : The organization struggled with multiple ERP systems, leading to discrepancies in data alignment and reporting. The existing EDW only contained internal data, limiting scalability and scope.
Scheduling Failures : Frequent failures in data sourcing caused inconsistencies in reports, impacting decision-making.
Integration Issues : Expanding the data architecture to incorporate data from associate companies led to performance degradation and highlighted the need for a cohesive, integrated data solution.
Reporting Inefficiencies : Chaotic reporting practices by stakeholders resulted in inaccurate data insights, further complicating strategic decisions.
DigiPrima Technologies developed and implemented a robust, scalable, and integrated Enterprise Data Warehouse (EDW) solution that addressed the organization’s data fragmentation and performance issues. Key features of the solution included:
Data Integration : A unified data architecture that incorporated data from internal and external sources, improving overall business intelligence.
Scalability : The system was designed to handle increasing data volumes, ensuring it could grow with the organization’s evolving needs.
Normalized Data Models : Data from diverse sources, including Excel and flat files, was transformed into standardized formats, improving reporting accuracy.
Performance Optimization : SQL Server was optimized for scalability, while Power BI models and DAX functions were fine-tuned to enhance performance and reduce report latency.
Streamlined Reporting : SQL Server was optimized for scalability, while Power BI models and DAX functions were fine-tuned to enhance performance and reduce report latency.
DigiPrima Technologies played a pivotal role in transforming the client’s data architecture by implementing the following key solutions.
DigiPrima designed a centralized EDW solution, utilizing Azure Data Factory for ETL processes, SQL Server for data storage, and Power BI for reporting and visualization. The architecture consolidated internal and external data, enabling comprehensive business insights.
To improve data extraction and reporting speed, DigiPrima optimized the EDW schema and eliminated unnecessary DAX calculations in Power BI reports, resulting in faster performance and more reliable insights.
Digiprima standardized and centralized reporting across departments, eliminating confusion from fragmented reports. Power BI dashboards were customized to leverage the EDW, offering stakeholders a single source of truth for data-driven decision-making.
The architecture was designed to be scalable, preparing the client for future data integration needs and additional data sources and ensuring the long-term viability of business intelligence efforts.
Our technology suite ensures dependable management of traffic and content flow in the application, aligning with the seamless streaming expectations of clients and users.
We follow agile methodology where we review the changes and the requirements on regular basis and make sure to deliver the solution exactly like the client wants.
We guarantee the deployment of error-free solutions through thorough testing and quality checks. For updates or concerns, support is readily available.
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