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The financial sector, particularly banks, relies heavily on accurate and timely data management.

Modern organizations must process information from numerous data sources, including applications, databases, and data warehouses, to gain trusted insights and build a sustainable competitive advantage. In a bid to quantify this, Market Pulse concluded through its survey that companies, on…

Introduced in 2012, Universal Analytics (UA) has been the backbone of web analytics for many years. The web analytics service came with various new features and capabilities. These included improved tracking of user behavior, offline interactions, and better integration with…

Each year, medical errors in the US alone claim 100,000 lives. This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a…

Dimensional modeling is still the most reliable modeling approach for designing a data warehouse for reporting use cases. Its denormalized structure significantly improves query performance, allowing for fast and seamless data consumption and reporting. The dimensions in a model-centric data…