Blogs

Server Cost Optimization in Data Engineering

As a data engineer, effectively analyzing the needs of your data infrastructure and carefully balancing resource allocation can be a complex task. Whether you are comparing server configurations and pricing models, or strategically making decisions to maximize value while minimizing expenses, it is crucial to navigate these challenges successfully. Irrespective of whether you’ve been operating […]

Server Cost Optimization in Data Engineering Read More »

BI Refactoring - Maximizing Reporting Performance with Azure Tabular Models

BI Refactoring – Maximizing Reporting Performance with Azure Tabular Models

Organizations can improve their reporting performance by using Azure Tabular Models instead of traditional SQL multidimensional models. Tabular models offer faster query response times, scalability, and cost-effectiveness. To convert to a tabular model, businesses can analyze their existing cube, create a new model, and deploy it on Azure Analysis Services. Tabular models provide more efficient decision-making based on data, making it a valuable tool for businesses.

BI Refactoring – Maximizing Reporting Performance with Azure Tabular Models Read More »

4 Ways the Shipping Industry is Revolutionizing Its Operations

4 Ways the Shipping Industry is Revolutionizing Its Operations

The shipping industry faces the challenge of coordinating a complex web of interconnected systems, resulting in a lack of transparency and visibility in the supply chain. Discover how digital technology and analytics have transformed the industry by providing real-time tracking, optimizing operations, reducing costs, and improving customer satisfaction.

4 Ways the Shipping Industry is Revolutionizing Its Operations Read More »

Harnessing the Power of Artificial Intelligence to Improve Patient Flow in Hospitals

Harnessing the Power of Artificial Intelligence to Improve Patient Flow in Hospitals

Hospitals around the world face major challenges in managing high patient flow in critical departments. Especially during unexpected surges in patient admissions, healthcare institutions struggle to use the limited resources effectively. However, predictive data modeling is emerging as a powerful tool for hospitals to accurately forecast demand and allocate resources more effectively. It can also help hospitals achieve better patient outcomes, reduce costs, and create a more efficient healthcare system. 

Harnessing the Power of Artificial Intelligence to Improve Patient Flow in Hospitals Read More »

Scroll to Top