Vendor relationship management plays a crucial in the automobile industry. An automotive business must understand vendors, perform verifications, and manage expectations. Therefore, efficient data handling is necessary to successfully onboard new vendors into a company’s network. More specifically, data automation…

The energy sector is in the midst of the biggest technological disruption. Efficient data management has become one of the main concerns for oil and gas businesses. Sensors and machines produce a massive volume of unstructured data in real-time, making…

Data warehouses are well-knitted information powerhouses that store terabytes

What does it take to ensure the quality and robustness of your data warehouse implementation? An in-depth data model verification system that allows you to thoroughly check your source and destination models and help fix them before they are ever deployed. Because if your data warehouse schema is accurate, the subsequent data loading and reporting processes will automatically be streamlined and error-free.

Dimensional data modeling has been the foundation of effective data warehouse design for decades. Kimball’s methodology promises optimized query performance and a streamlined structure that’s easily understood by stakeholders at every level of the enterprise. Read on to find out…