Final answer:
The data-cleaning process can lead to the transformation of data collection processes by identifying and correcting inefficiencies, thus enhancing future data-driven decision-making.
Step-by-step explanation:
Beyond achieving clean data, the data-cleaning process offers several potential benefits. The most relevant benefit against the options provided is transformation of data collection processes (Option C). Through the iterative process of data cleaning, organizations can identify flaws and inefficiencies in their data collection methods, prompting a review and subsequent improvement of these processes. This can lead to more accurate, timely, and relevant data collection in the future, which in turn enhances data-driven decision-making.
In contrast, the other options, such as hindrance in business development, limited insights into business processes, or lack of feedback for improvement, are not benefits but potential disadvantages or problems associated with poor data management practices or the absence of data cleaning.