As data scientists, we often focus on the exciting part of machine learning – building and testing models. However, we often overlook data preparation. Only 3% of company data is estimated to meet basic quality standards, highlighting the importance of…
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Category: Data Management
- Blog
The Importance of Data Preparation in Machine Learning: Ensuring High-Quality and Reliable Models
- Blog
Data-Driven Sports: Unveiling the World of Sports Data Analytics
Have you ever wondered how sports teams decide which players to acquire and which strategies to implement? Or how do sports commentators make such accurate predictions about game outcomes? The answer lies in data-driven decision-making. Sports data analytics has become…
Health Data Management: What it Means for Healthcare Organizations
The healthcare industry is undergoing a data revolution, fundamentally changing how healthcare organizations and professionals approach patient care. A modern healthcare data management system that empowers health providers to better anticipate needs and improve patient outcomes with unprecedented accuracy isn’t…
- Blog
Improving Data Accessibility with Internal Data Sharing
In today’s day and age, data is imperative to any organization, and yet it is often not as simple as one would hope. With the ever-rising volume and complexity of data, organizations face challenges in managing, analyzing, and utilizing data…
- Blog
2023 Game Plan: Defining Your Data Strategy
Gartner, Inc.’s latest forecast reveals that global IT spending is projected to reach $4.6 trillion in 2023. Despite the impacts of COVID-19 and the looming recession, enterprises will push forward with digital business initiatives and invest in technological advancements. “Enterprises…