The Difference Between Predictive Analytics and Data Science Posted on : Nov 15 - 2022

Predictive data helps forecasts, but data science is unique. This post explains the difference between predictive analytics and data science.

Humanity wonders about tomorrow and predicting industry trends or seasonal consumer demand matters to clever business leaders. Predictive data analytics helps managers and their teams develop strategies for successful sales. Simultaneously, data scientists uncover hidden insights in business data. This post will explore the difference between predictive analytics and data science.

Predictive Analytics in Data Science

You want to understand the context of data science consulting services and the scope of predictive analytics solutions to learn the relationship between their business models. While some of their activities often overlap, both techniques have unique processes and outcomes/deliverables.

What Is Data Science?

Data science is the art of identifying patterns in structured, unstructured, and semi-structured data types to enhance the effectiveness of corporate growth strategies. A data science consulting firm also prepares and cleans the datasets while implementing machine learning (ML) models.

Different data structures are always more demanding on computer systems because they primarily provide numerical calculations for structured data. Therefore, data science professionals (data scientists) develop several abstract models and adjust them for practical business applications. View More