Category: Data Management

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…

  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…

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…

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…

Imagine your team of developers is working on projects with hard deadlines. Whenever developers make changes to the code, the project manager must call a meeting to ensure a change in one part of a codebase doesn’t result in a…