Category: Data Warehouse Automation

In 1996, Ralph Kimball introduced the world to dimensional modeling for building data warehouses. Designed to optimize databases for storage and faster data retrieval, the bottom-up approach became quite popular. Thus, organizations increasingly started using a dimensional data model to…

Organizations harnessing data are 3X more likely to experience improved decision-making effectiveness. As a result, they can acquire more customers, retain them, and be more profitable. Though many organizations understand the potential that data holds and invest heavily to become…

The role of business intelligence in higher education has amplified in recent times. Modern universities strive to leverage education analytics to efficiently manage resources, drive improvements in operational processes, and enhance the teaching and learning process. The availability of large…

Over the past decade, the education sector has been flooded with an influx of high volumes of data in varying formats. To mine this data and visualize actionable insights from it, organizations need to consolidate it and leverage education analytics…