Machine Learning vs. Traditional Analytics: What’s the Difference?

Businesses today face a crucial decision: how to best leverage the vast amounts of data at their disposal. The choice often boils down to traditional analytics versus machine learning, each offering distinct advantages.

Traditional analytics has been a staple for decades, helping organizations analyze structured data to understand past trends. It’s the go-to method for descriptive and diagnostic insights. However, machine learning is rapidly gaining ground, enabling predictive and prescriptive analytics by analyzing both structured and unstructured data.

The real power lies in blending these approaches. By using traditional analytics to understand past trends and machine learning to predict future outcomes, businesses can create a data strategy that is both insightful and forward-thinking.

Want to learn more about integrating these powerful tools? Check out the full blog on our website here.