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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted. Insight analytics.

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Health Data Management | Challenges and Best Practices

Astera

Billion by 2026 , showing the crucial role of health data management in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

But that kind of thinking comes from the world we used to know, a world that was less volatile and more manageable, more influenced by the proximity ecosystem than by world events and climate. How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Trend 6: Cloud is a given.

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How to Aggregate Global Data from the Coronavirus Outbreak

Sisense

Healthy Data is your window into how data is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

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Is your Integration Platform Ready to Embrace Emerging Technology Trends?

Actian

Some exciting technology trends are emerging that are projected to hit the mainstream over the next few years that will have a significant impact on your data management systems. The IT industry is changing rapidly, and there are 4 key emerging technology trends that data management and IT professionals should be monitoring closely.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

This enables employees to see data details like definitions and formulas, lineage and ownership information, as well as important data quality notifications, from certification status to events, like if a data source refresh failed and the information isn’t up to date. Data modeling. Data migration .