Developing A Successful Data Science Project
DATAVERSITY, January 19th, 2023
While Data Science practitioners, aspirants, and enthusiasts often get caught up in the business benefits of Data Science, it is equally important to keep a close watch on the common pitfalls that need to be avoided to launch a successful Data Science project.
By identifying and exploring why some initiatives fail, data scientists can learn to better leverage their data assets for maximum gain.
Let's begin with two Data Science roles: data scientist and data analyst. A data scientist must investigate a business problem by asking the right questions, gather the required data from different sources and prepare it for analysis, extract the actionable insights and communicate the results to others, and finally, deliver data-enabled solutions for positive business outcomes.