Author name: Vikram Shetty

A graduate from Dayananda Sagar College, Bengaluru, Vikram is a content development specialist with almost a decade of experience in the industry. His work has been featured in platforms like India Today, News 18, Republic TV, and Forbes India.

Vikram Shetty
Tableau Dashboard | Healthcare Analytics | Factspan

Tableau Dashboards for enhanced Healthcare Analytics

Ever wondered how healthcare facilities make critical decisions? Explore the transformative power of Tableau dashboards in healthcare analytics. Discover insights that drive financial success, streamline operations, and ultimately save lives. From Consolidated Views to Powerplan Precision, witness a data-driven revolution shaping the future of patient care.

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prompt engineering | chatgpt | factspan

Designing BI Dashboards for Real-time Healthcare Analytics

Ever wondered about the transformative impact of healthcare analytics in elevating leadership in the field? Learn how executive dashboards empower decision-makers, optimizing patient care, resource allocation, and operational efficiency. Predictive ML models, paving the way for superior healthcare outcomes. Join the forefront of innovation shaping the future of healthcare.

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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.

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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. 

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