Discuss the role of data wrangling in the journey from raw data to actionable in

Discuss the role of data wrangling in the journey from raw data to actionable insights. Consider the six key steps involved in the data-wrangling process: formatting and arranging data, splitting, and combining fields, cleaning, enriching, validating, and publishing. How does each step contribute to the overall goal of transforming raw data into reliable, usable information for analysis? Provide specific examples illustrating the challenges and solutions encountered in each step, and explain how addressing these challenges enhances the quality, completeness, and relevance of the data for analytical purposes. Additionally, discuss the implications of effective data wrangling on decision-making processes and the potential consequences of neglecting or inadequately performing these crucial steps in the data preparation pipeline.
Grading Criteria – Refer to the Discussion Forums Grading RubricDownload Discussion Forums Grading Rubric
For full credit on the discussion forums, students must:
make a substantial initial post (500 words minimum) responding to the discussion prompt questions while citing at least two credible sources 
APA 7th Edition format is required for initial discussion posts.
Your two references should be one scholarly and one supportive that further substantiate the significance of your comments.  The scholarly reference should be drawn from reputable academic journals or books, while the supportive reference can be sourced from industry reports, reputable news articles, or credible business publications. Then use those references to explain your thoughts and ideas.