{"id":65040,"date":"2023-10-05T14:06:23","date_gmt":"2023-10-05T12:06:23","guid":{"rendered":"https:\/\/intellias.com\/?p=65040"},"modified":"2024-01-17T11:51:37","modified_gmt":"2024-01-17T10:51:37","slug":"data-management-solution-for-a-european-loan-management-business","status":"publish","type":"post","link":"https:\/\/intellias.com\/data-management-solution\/","title":{"rendered":"Data Management Solution for a European Loan Management Business"},"content":{"rendered":"

Project snapshot<\/h2>\n
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Recognizing the importance of efficient data management in today\u2019s financial sector, our client was focused on using relevant digital technologies while expanding their market presence and enhancing the customer experience across multiple countries. With a steadfast commitment to improving their core business operations within loan management, the company aimed to redesign its data analytics processes to drive more streamlined decision-making and reduce operating costs.<\/p>\n <\/div> \n <\/div>\n

Business challenge<\/h2>\n

Our client provides a complete range of debt management services, accompanying customers at each stage of their journey, from invoice administration to debt collection and purchasing. Streamlining data analytics processes had the potential of bringing added value to the client\u2019s services, allowing the company to make data-driven decisions and reduce financial risks.<\/p>\n

A transnational business with a strong presence in several European economies, our client felt the need to standardize their approach to managing large volumes of information received from different sources.<\/p>\n

At the same time, the company had no unified data warehouse capable of processing incoming data and simplifying business processes. They needed a complete review of their data management strategy, allowing them to establish a presence in new markets while maintaining the same high quality of loan counseling services.<\/p>\n

\"Data<\/p>\n

Solution delivered<\/h2>\n

Intellias delivered an end-to-end analytical platform that includes the required infrastructure, data warehouse, business intelligence, reporting (including self-service options), and advanced analytics capabilities.<\/p>\n

The team helped the client develop a new data management architecture capable of consuming, processing, and analyzing large volumes of data. This complex solution included deep analysis of the client\u2019s requirements and the design and implementation of new data warehousing infrastructure.<\/p>\n

We chose Microsoft Azure SQL Database for an enterprise data warehouse and Microsoft Azure Data Factory as the platform for data processing.<\/p>\n

For analyzing data and generating actionable insights, the Intellias team designed and implemented a business intelligence framework with Microsoft Power BI under the hood. The use of Microsoft tools ensured seamless integration of components and allowed for building a coherent BI\/DWH framework.<\/p>\n

The implemented business intelligence process involves advanced data analytics and visualization via interactive dashboards and operational reporting. The framework provides a 360-degree view of customer information, analyzing both historical and operational data collected from the call center and the CRM system. Machine learning technologies add predictive capabilities by enabling automated customer segmentation.<\/p>\n

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Tap into your data potential to gain a competitive edge<\/div>\n
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Business outcomes<\/h2>\n

Intellias fully redesigned the client\u2019s approach to data management, building a new infrastructure that takes data processing efficiency to a new level. Leveraging the power of data warehousing and business intelligence technologies, we created advanced data analytics<\/a> experiences giving our client full control over their entire information base:<\/p>\n